Five Types of Systems Philosophy

Five Types of Systems Philosophy

Key Terms

  • Systems
  • Systems Theory
  • Systems Philosophy
  • Systems Thinking
  • Systems Dynamics
  • Systems Management
  • Systems Engineering
  • General Systems Theory
  • Cybernetics
  • Complex Systems
  • Agent Based Modeling
  • Operations Research
  • Supply Chain Management
  • Money Flows
  • Systems Biology
  • Autopoiesis
  • Autocatalysis
  • Relational Science
  • Relational Biology
  • Networks
  • Hierarchy Theory
  • Process Philosophy
  • Social Systems Theory
  • Socio-Cybernetics
  • Relational Sociology
  • Hierarchical Planning
  • Organizational Learning
  • Second Order Cybernetics
  • Third Order Cybernetics
  • Holons
  • Holarchy
  • Heterarchy
  • Global Value Chains
  • Stock Flow Consistent Modeling
  • Boundaries
  • Economic Cycles
  • Monetary Circuits
  • Balance Sheets Economics
  • Input Output Analysis
  • Feedbacks
  • Increasing Returns
  • Path Dependence
  • Circular Economy
  • Semiotics
  • Meaning
  • System Sciences
  • Engineered Systems
  • Modularity
  • Design Thinking
  • Credit Chains
  • Co-Evolution
  • Monism
  • Non Duality
  • Duality
  • Deep Ecology
  • Society for General Systems Research in 1954
  • International Society for the Systems Sciences (ISSS) in 1988
  • American Society for Cybernetics

Key Scholars

  • Ervin Laszlo
  • Norbert Wiener
  • Ludwig von Bertalanffy
  • George J. Klir
  • Howard Pattee
  • Jay Forrester
  • George Richardson
  • Fritjof Capra
  • James Grier Miller
  • Gregory Bateson
  • Niklas Luhmann
  • Heinz von Foerster
  • Archie J. Bahm
  • Kenneth Boulding
  • W. Ross Ashby
  • C. W. Churchman
  • Mario Bunge
  • Herbert A. Simon
  • Robert Rosen
  • Stafford Beer
  • Anatol Rapoport
  • Ralph Gerard
  • Russell Ackoff
  • Erich Jantsch
  • Ralph Abraham
  • Stuart Kauffman
  • Louis Kauffman
  • Humberto Maturana
  • Alfred North Whitehead
  • Paul A. Weiss
  • Kurt Lewin
  • Roy R. Grinker
  • William Gray
  • Nicolas Rizzo
  • Karl Menninger
  • Silvano Arieti
  • Peter Senge

FIVE TYPES OF SYSTEMS PHILOSOPHY

Source: FIVE TYPES OF SYSTEMS PHILOSOPHY

  • Atomism
  • Holism
  • Emergentism
  • Structuralism
  • Organicism

Source: FIVE TYPES OF SYSTEMS PHILOSOPHY

Bunge’s three types of systems philosophies are expanded to five: atomism (the world is an aggregate of elements, without wholes; to be understood by analysis), holism (ultimate reality is a whole without parts, except as illusory manifestations; apprehended intuitively), emergentism (parts exist together and their relations, connections, and organized interaction constitute wholes that continue to depend upon them for their existence and nature; understood first analytically and then synthetically), structuralism (the universe is a whole within which all systems and their processes exist as depending parts; understanding can be aided by creative deduction), and organicism (every existing system has both parts and whole, and is part of a larger whole, etc.; understanding the nature of whole-part polarities is a clue to understanding the nature of systems. How these five types correlated with theories of conceptual systems and methodologies is also sketched.

Source: Five systems concepts of society

Bunge’s three “concepts of society” exemplify three types of systems philosophy. This article criticizes Bunge’s analysis as minimally inadequate by expanding his range to five concepts of society which exemplify five kinds of systems philosophy: individualism, emergentism, organicism, structuralism, and holism. Emphasis is given to stages in the development of emergentism, including cybernetics (four stages), systems theory (eight stages), and holonism, and then to opposing structuralism (four examples). Organicism as a type of systems philosophy and concept of society is constructed by incorporating the constructive claims of both emergentism and structuralism and by overcoming oppositions to them systematically.

Source: Holons: Three conceptions

Recent advances in systems theory have required a new term, ‘holon’ (a whole of parts functioning as part of a larger whole). These advances are complicated by differing interpretations provided by three competing kinds of general systems theory: Emergentism, structuralism and organicism. For emergentism, use of the term signifies a shift in emphasis from focusing on the dynamic equilibrium between a whole and its parts to that between the whole and the larger whole of which it is a part. For structuralism, the term serves in explaining subsystem adaptation to environmental and hierarchical constraints and determinations by invariant principles. By incorporating ideas from both emergentism and structuralism into its more intricate interpretations, the author claims that organicism presents a more adequate conception of the nature of holons—now regarded as essential to general systems thinking.

Source: Comparing civilizations as systems

Comparison of Western, Indian and Chinese civilizations as cultural systems exhibiting persisting ideals constituting important structural differences reveals that two taproots of Western civilization (the Hebraic stressing will and the Greek stressing reason) as characteristics essential to the nature of the world and man, are opposed in Hindu culture idealizing Nirguna Brahman as complete absence of both will (desire) and reason (distinctions) and yogic endeavor designed to eliminate both from persons, are partially integrated as complementary opposites in Chinese taoistic yin-yang ideals about both the universe and man. Opportunities for further research comparing cultural systems seem unlimited.

Source: Systemism: the alternative to individualism and holism

Systems Philosophy

Source: Systems Philosophy

Source: Systems Philosophy

Source: Systems Philosophy

Source: Systems Philosophy

Source: Systems Philosophy

Source: Systems Philosophy

Source: Systems Philosophy

Source: Systems Philosophy

Source: Introduction to Systems Philosophy

First Published in 1972, Introduction to Systems Philosophy presents Ervin Laszlo’s first comprehensive volume on the subject. It argues for a systematic and constructive inquiry into natural phenomenon on the assumption of general order in nature. Laszlo says systems philosophy reintegrates the concept of enduring universals with transient processes within a non-bifurcated, hierarchically differentiated realm of invariant systems, as the ultimate actualities of self-structuring nature. He brings themes like the promise of systems philosophy; theory of natural systems; empirical interpretations of physical, biological, and social systems; frameworks for philosophy of mind, philosophy of nature, ontology, epistemology, metaphysics and normative ethics, to showcase the timeliness and necessity of a return from analytic to synthetic philosophy. This book is an essential read for any scholar and researcher of philosophy, philosophy of science and systems theory.

Source: General Systems Theory: Foundations, Development, Applications

Source: General Systems Theory: Foundations, Development, Applications

Source: General Systems Theory: Foundations, Development, Applications

Source: Systems Theory as the Foundation for Understanding Systems

Source: Systems Theory as the Foundation for Understanding Systems

Source: Systems Theory as the Foundation for Understanding Systems

Source: Feedback Thought in Social Science and Systems Theory

My Related Posts

Systems and Organizational Cybernetics

Society as Communication: Social Systems Theory of Niklas Luhmann

From Systems to Complex Systems

Cybernetics, Autopoiesis, and Social Systems Theory

Systems Biology: Biological Networks, Network Motifs, Switches and Oscillators

Jay W. Forrester and System Dynamics

Semiotics and Systems

System Archetypes: Stories that Repeat

Systems View of Life: A Synthesis by Fritjof Capra

Phillips Machine: Hydraulic Flows and Macroeconomics

Cybernetics Group: A Brief History of American Cybernetics

Second Order Cybernetics of Heinz Von Foerster

Third and Higher Order Cybernetics

Ratio Club: A Brief History of British Cyberneticians

Socio-Cybernetics and Constructivist Approaches

On Holons and Holarchy

Profiles in Operations Research

History of Operations Research

Hierarchy Theory in Biology, Ecology and Evolution

Hierarchical Planning: Integration of Strategy, Planning, Scheduling, and Execution

Gantt Chart Simulation for Stock Flow Consistent Production Schedules

Production and Distribution Planning : Strategic, Global, and Integrated

Single, Double, and Triple Loop Organizational Learning

Accounting for Global Value Chains/Global Supply Chains

Stock Flow Consistent Models for Ecological Economics

Increasing Returns, Path Dependence, Circular and Cumulative Causation in Economics

Feedback Thought in Economics and Finance

Increasing Returns and Path Dependence in Economics

Wassily Leontief and Input Output Analysis in Economics

Towards the Circular Economy

Long Wave Economic Cycles Theory

Stock Flow Consistent Input Output Models (SFCIO)

Milankovitch Cycles: Astronomical Theory of Climate Change and Ice Ages

Micro Motives, Macro Behavior: Agent Based Modeling in Economics

Stock-Flow Consistent Modeling

Contagion in Financial (Balance sheets) Networks

Oscillations and Amplifications in Demand-Supply Network Chains

Classical roots of Interdependence in Economics

George Dantzig and History of Linear Programming

Morris Copeland and Flow of Funds accounts

Networks and Hierarchies

Boundaries and Networks

Monetary Circuit Theory

Understanding Global Value Chains – G20/OECD/WB Initiative

Quantitative Models for Closed Loop Supply Chain and Reverse Logistics

Steps to an Ecology of Mind: Recursive Vision of Gregory Bateson

Law of Dependent Origination

Paradoxes, Contradictions, and Dialectics in Organizations

Key Sources of Research

Organicism: The Philosophy of Interdependence

Archie J. Bahm

International Philosophical Quarterly
Volume 7, Issue 2, June 1967
Pages 251-284
https://doi.org/10.5840/ipq19677251

Comparing civilizations as systems.

Bahm, A.J. (1988),

Syst. Res., 5: 35-47. https://doi.org/10.1002/sres.3850050105

“Organic unity and emergence.” 

Bahm, Archie J.

Emergence: Complexity and Organization 14, no. 2 (2012): 116+. Gale Academic OneFile (accessed April 24, 2023). https://link.gale.com/apps/doc/A299258807/AONE?u=anon~a582c343&sid=googleScholar&xid=031287de.

The nature of existing systems.

Bahm, A.J. (1986),

Syst. Res., 3: 177-184. https://doi.org/10.1002/sres.3850030307

Five systems concepts of society.

Bahm, A.J. (1983),

Syst. Res., 28: 204-218. https://doi.org/10.1002/bs.3830280304

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bs.3830280304

FIVE TYPES OF SYSTEMS PHILOSOPHY, 

ARCHIE J. BAHM (1981) 

International Journal of General Systems, 6:4, 233-237, DOI: 10.1080/03081078108934801

https://www.tandfonline.com/doi/abs/10.1080/03081078108934801

Holons: Three conceptions.

Bahm, A.J. (1984),

Syst. Res., 1: 145-150. https://doi.org/10.1002/sres.3850010207

https://onlinelibrary.wiley.com/doi/abs/10.1002/sres.3850010207

SYSTEMS THEORY AND THE PHILOSOPHY OF SCIENCE

Rob de Vries

https://www.academia.edu/45044397/SYSTEMS_THEORY_AND_THE_PHILOSOPHY_OF_SCIENCE

Introduction to Systems Philosophy

Toward a New Paradigm of Contemporary Thought

By Ervin Laszlo
Copyright 1972

ISBN 9781032071428
352 Pages
Published September 30, 2021 by Routledge

https://www.routledge.com/Introduction-to-Systems-Philosophy-Toward-a-New-Paradigm-of-Contemporary/Laszlo/p/book/9781032071428

“General systems theory: origin and hallmarks”,

Skyttner, L. (1996),

 Kybernetes, Vol. 25 No. 6, pp. 16-22. https://doi.org/10.1108/03684929610126283

General Systems Theory: Foundations, Development, Applications.

Bertalanffy,L.1968.

New York: George Braziller.

(New York: Braziler, 1972 revised edition, 280p.).

The Ecology of Human Development: Experiments by Nature and Design.

Bronfenbrenner, U. 1979.

Cambridge, MA: Harvard University Press.

General Systems Theory: Its Present and Potential. 

Rousseau, D (2015),  

Syst. Res.,  32,  522– 533. doi: 10.1002/sres.2354.

General Systems Theory: Its Past and Potential. 

Caws, P (2015),  

Syst. Res.,  32,  514– 521. doi: 10.1002/sres.2353.

Systems Philosophy and the Unity of Knowledge.

Rousseau, D. (2014),

Syst. Res., 31: 146-159. https://doi.org/10.1002/sres.2189

The science of synthesis : exploring the social implications of general systems theory

Debora Hammond.

2003 University Press of Colorado

THE MEANING OF GENERAL SYSTEM THEORY

The Quest for a General System Theory

Ludwig von Bertalanffy

Chapter 2 from General System Theory. Foundations, Development, Applications Ludwig von Bertalanffy
New York: George Braziller 1968
pp. 30-53

TRENDS IN GENERAL SYSTEM THEORY

George J. Klir, Ed

Wiley-Interscience, N.Y ., 1972, 462 pp.

Introduction to System Theory

by Niklas Luhmann, Peter Gilgen (Trans.)
Cambridge: Polity Press, 2012, pbk. (ISBN: 978-0745645728), 300pp.

GENERAL SYSTEMS THEORY 

Anatol Rapoport

University of Toronto, Canada

SYSTEMS SCIENCE AND CYBERNETICS – Vol. I – General Systems Theory – Anatol Rapoport

Encyclopedia of Life Support Systems (EOLSS)

Systems Theories:
Their Origins, Foundations, and Development

By
Alexander Laszlo and Stanley Krippner

Published in:
J.S. Jordan (Ed.), Systems Theories and A Priori Aspects of Perception. Amsterdam: Elsevier Science, 1998. Ch. 3, pp. 47-74.

The Architecture of Complexity

Herbert A. Simon
Proceedings of the American Philosophical Society, Vol. 106, No. 6. (Dec. 12, 1962), pp. 467-482.

A Taoist Foundation of Systems Modeling and Thinking

Karl R. Lang and Jing Lydia Zhang

Department of Information and Systems Management,
HK University of Science & Technology (HKUST), Hongkong

Email: {klang, zhangjin}@ust.hk

Systems Theory

BRUCE D. FRIEDMAN AND KAREN NEUMAN ALLEN

FRAMEWORKS FOR CLINICAL PRACTICE

The History and Status of General Systems Theory

LUDWIG VON BERTALANFFY

* Center for Theoretical Biology, State University of New York ot Buffalo

George J. Kiir, ed., Trends in General Systems Theory (New York: Wiley-lnterscience, 1972).

Click to access the_history_and_status_of_general_systems_theory.pdf

The Nature of Living Systems: An Exposition of the Basic Concepts in General Systems Theory.

Miler,James G.

World Systems Theory

by Carlos A. Martínez-Vela

An Outline of General System Theory (1950)

Ludwig von Bertalanffy

The British Journal for the Philosophy of Science, Vol. 1, No. 2 (Aug., 1950), pp. 134-165

Click to access Bertalanffy1950-GST_Outline_SELECT.pdf

On the Philosophical Ontology for a General System Theory

CUI Weicheng
Key Laboratory of Coastal Environment and Resources of Zhejiang Province (KLaCER) School of Engineering, Westlake University, Hangzhou, China

Philosophy Study, June 2021, Vol. 11, No. 6, 443-458

doi: 10.17265/2159-5313/2021.06.002

Systems Theory as the Foundation for Understanding Systems

Kevin MacG. Adams
Peggy T. Hester
Joseph M. Bradley
Thomas J. Meyers
Charles B. Keating
Old Dominion University

Systems Engineering, 17(1), 112-123. 2014

doi:10.1002/sys.21255

A Brief Review of Systems Theories and Their Managerial Applications.

Cristina Mele, Jacqueline Pels, Francesco Polese, (2010)

Service Science 2(1-2):126-135. https://doi.org/10.1287/serv.2.1_2.126

https://pubsonline.informs.org/doi/pdf/10.1287/serv.2.1_2.126

Systems Philosophy

Ervin Laszlo

https://www.utpjournals.press/doi/pdf/10.3138/uram.1.3.223

Systems Philosophy

Wikipedia

https://en.wikipedia.org/wiki/Systems_philosophy

Systems Theory

Rudolf Stichweh

Systems Philosophy and Cybernetics

Nagib Callaos
Founding President of the International Institute of Informatics and Systemics (IIIS)

SYSTEMICS, CYBERNETICS AND INFORMATICS VOLUME 19 – NUMBER 4 – YEAR 2021

Systems Philosophy: An Integral Theory of Everything?.

Pretel-Wilson, Manel. (2017).

10.13140/RG.2.2.25388.16003.

https://www.researchgate.net/publication/322910282_Systems_Philosophy_An_Integral_Theory_of_Everything

Feedback Thought in Social Science and Systems Theory

by George P. Richardson (Author)

Publisher ‏ : ‎ Pegasus Communications (January 1, 1999)
Language ‏ : ‎ English
Paperback ‏ : ‎ 374 pages
ISBN-10 ‏ : ‎ 1883823463
ISBN-13 ‏ : ‎ 978-1883823467

“Semiotic systems”

BUNGE, MARIO.

In Systems: New Paradigms for the Human Sciences edited by Gabriel Altmann and Walter A. Koch, 337-349. Berlin, New York: De Gruyter, 1998. https://doi.org/10.1515/9783110801194.337

Mario Bunge: A Centenary Festschrift

Front Cover

Michael R. Matthews

Springer International Publishing, Aug 1, 2019 – 827 pages

Systemism: the alternative to individualism and holism

Mario Bunge

The Journal of Socio-Economics
Volume 29, Issue 2, 2000, Pages 147-157

https://doi.org/10.1016/S1053-5357(00)00058-5

https://philpapers.org/rec/BUNSTA

https://www.sciencedirect.com/science/article/abs/pii/S1053535700000585

On Mario Bunge’s Definition of System and System Boundary. 

Cavallo, A.M.

Sci & Educ 21, 1595–1599 (2012). https://doi.org/10.1007/s11191-011-9365-0

https://link.springer.com/article/10.1007/s11191-011-9365-0

A systems concept of society: Beyond individualism and holism. 

Bunge, Mario (1979).

Theory and Decision 10 (1-4):13-30.

DOI 10.1007/bf00126329

https://philpapers.org/rec/BUNASC

Emergence and Evidence: A Close Look at Bunge’s Philosophy of Medicine

Rainer J. Klement 1,* and Prasanta S. Bandyopadhyay 2

1Department of Radiation Oncology, Leopoldina Hospital Schweinfurt, Robert-Koch-Straße 10, 97422 Schweinfurt, Germany
2 Department of History & Philosophy, Montana State University, Bozeman, MT, 59717, USA
Correspondence: rainer_klement@gmx.de; Tel.: +49-9721-7202761

http://philsci-archive.pitt.edu/17047/

Official URL: https://www.mdpi.com/2409-9287/4/3/50

Causality and Modern Science

Fourth Revised Edition

by Bunge, Mario (2008) Paperback

SYSTEM BOUNDARy 

MARIO BUNGE (1992) 

International Journal of General Systems, 20:3, 215-219, DOI: 10.1080/03081079208945031

A CRITICAL NOTE ON BUNGE’S ‘SYSTEM BOUNDARY’ AND A NEW PROPOSAL

JEAN-PIERRE MARQUIS (1996) 

International Journal of General Systems, 24:3, 245-255, DOI: 10.1080/03081079608945120

Correspondence: Systems profile.

Bahm, A.J. (1987),

Syst. Res., 4: 203-209. https://doi.org/10.1002/sres.3850040306

First page image

References

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  • A. J. Bahm, What is philosophy? Sci. Monthly 52 (1941), 533– 560.
  • A.J. Bahm, Meanings of negation. Philos. Phenomenological Res. 22 (1961), 197– 184.
  • A. J. Bahm, Organicism: The philosophy of interdependence. Internat. Philos. Quart. 7 (1967),251– 284.
  • A. J. Bahm, Systems theory: Hocus pocus or holistic science? Gen. Syst. 14 (1969), 176– 178.
  • A. J. Bahm, Polarity, Dialectic, and Organicity. Charles C. Thomas, Springfield, ILL (1970).
  • A. J. Bahm, General systems theory as philosophy. Gen. Syst. Bull. 4 (1973), 4– 6.
  • A. J. Bahm, Comparative Philosophy: Western, Indian and Chinese Philosophies Compared. Vikas, New Delhi, and World Books, Albuquerque (1977).
  • A. J. Bahm, review of J. G. Miller’s Living Systems. Gen. Syst. Bull. 10 (1979), 31– 32.
  • A. J. Bahm, The Philosopher’s World Model. Greenwood Press, Westport, CT (1979).
  • A. J. Bahm, Organic logic: An introductory essay. Dialogos 40 (1982), 107– 122.
  • A. J. Bahm, Five types of systems philosophy. Int. J. Gen. Syst. 6 (1981), 233– 237.
  • A. J. Bahm, Five systems concepts of society. Behav. Sci. 28 (1983), 204– 218.
  • A. J. Bahm, Holons: Three conceptions. Syst. Res. 1 (1984), 145– 150.
  • A. J. Bahm, Wholes and parts of things. Contextos 11 (1984), 7– 26.
  • A. J. Bahm, The nature of existing systems. Syst. Res. 3 (1986), 177– 184.
  • B. H. Banathy (ed.), Systems Inquiring: Theory, Philosophy, Methodolgy. Intersystems Publications, Seaside, CA (1985).
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Further reading[edit]

  • Diederik Aerts, B. D’Hooghe, R. Pinxten, and I. Wallerstein (Eds.). (2011). Worldviews, Science And Us: Interdisciplinary Perspectives On Worlds, Cultures And Society – Proceedings Of The Workshop On Worlds, Cultures And Society. World Scientific Publishing Company.
  • Diederik AertsLeo Apostel, B. De Moor, S. Hellemans, E. Maex, H. Van Belle, and J. Van der Veken (1994). Worldviews: from fragmentation to integration. Brussels: VUB Press.
  • Archie Bahm (1981). Five Types of Systems Philosophy. International Journal of General Systems, 6(4), 233–237.
  • Archie Bahm (1983). Five systems concepts of society. Behavioral Science, 28(3), 204–218.
  • Gregory Bateson (1979). Mind and nature : a necessary unity. New York: Dutton.
  • Gregory Bateson (2000). Steps to an ecology of mind. Chicago IL: University of Chicago Press.
  • Kenneth Boulding (1985). The World as a Total System. Beverly Hills, CA.: Sage Publications.
  • Mario Bunge (1977). Ontology I: The furniture of the world. Reidel.
  • Mario Bunge (1979). Ontology II: A World of Systems. Dordrecht: Reidel.
  • Mario Bunge (2010). Matter and Mind: A Philosophical Inquiry. New York, NY: Springer.
  • Francis Heylighen (2000). What is a world view? In F. Heylighen, C. Joslyn, & V. Turchin (Eds.), Principia Cybernetica Web (Principia Cybernetica, Brussels), http://cleamc11.vub.ac.be/WORLVIEW.html.
  • Arthur Koestler (1967). The Ghost in the Machine. Henry Regnery Co.
  • Alexander Laszlo & S. Krippner S. (1998) Systems theories: Their origins, foundations, and development. In J.S. Jordan (Ed.), Systems theories and a priori aspects of perception. Amsterdam: Elsevier Science, 1998. Ch. 3, pp. 47–74.
  • Laszlo, A. (1998) Humanistic and systems sciences: The birth of a third culture. Pluriverso, 3(1), April 1998. pp. 108–121.
  • Laszlo, A. & Laszlo, E. (1997) The contribution of the systems sciences to the humanities. Systems Research and Behavioral Science, 14(1), April 1997. pp. 5–19.
  • Ervin Laszlo (1972a). Introduction to Systems Philosophy: Toward a New Paradigm of Contemporary Thought. New York N.Y.: Gordon & Breach.
  • Laszlo, E. (1972b). The Systems View of the World: The Natural Philosophy of the New Developments in the Sciences. George Braziller.
  • Laszlo, E. (1973). A Systems Philosophy of Human Values. Systems Research and Behavioral Science, 18(4), 250–259.
  • Laszlo, E. (1996). The Systems View of the World: a Holistic Vision for our Time. Cresskill NJ: Hampton Press.
  • Laszlo, E. (2005). Religion versus Science: The Conflict in Reference to Truth Value, not Cash Value. Zygon, 40(1), 57–61.
  • Laszlo, E. (2006a). Science and the Reenchantment of the Cosmos: The Rise of the Integral Vision of Reality. Inner Traditions.
  • Laszlo, E. (2006b). New Grounds for a Re-Union Between Science and Spirituality. World Futures: Journal of General Evolution, 62(1), 3.
  • Gerald Midgley (2000) Systemic Intervention: Philosophy, Methodology, and Practice. Springer.
  • Rousseau, D. (2013) Systems Philosophy and the Unity of Knowledge, forthcoming in Systems Research and Behavioral Science.
  • Rousseau, D. (2011) Minds, Souls and Nature: A Systems-Philosophical Analysis of the Mind-Body Relationship. (PhD Thesis, University of Wales, Trinity Saint David, School of Theology, Religious Studies and Islamic Studies).
  • Jan Smuts (1926). Holism and Evolution. New York: Macmillan Co.
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Color and Imaging in Digital Video and Cinema

Color reproduction and management is a key task in digital video and cinema production. Choices of hardware, software, and handoffs and handshakes in production process require control over color of an image or a video. This is a very complex task due to several reasons.

  • Complexity of Color and its measurement
  • Changing color and light conditions during shoot indoors and outdoors
  • Hardware and software encoded color standards are inconsistent. Cameras, displays and projectors all have different color specifications.
  • After shoot, the data recorded is processed using different softwares for editing, grading, compositing, CG rendering, animations, and special effects. These softwares require different data formats (Log vs Linear).
  • After processing video data is required to meet different deliverables in multiple formats for displays and projectors.
  • Archiving and storage of data requires specific color formats.
  • There are also subjective and artistic requirements to meet look and feel of the data.

My post is to bring these issues to light and to educate. I hope after reading this post you know little more about color and its management during digital video and cinema production.

Key Terms

  • ACES
  • LUT
  • REC709
  • REC2020
  • Color Gamut
  • CIE Chromaticies
  • CIE XYZ
  • ACES 1.1
  • ACES 1.2
  • Color Workflow
  • Premier Pro
  • Final Cut Pro
  • Davinci Resolve
  • Avid Media Composer
  • IDT
  • ODT
  • RRT
  • Maya
  • Nuke
  • After Effects
  • ITU
  • SMPTE
  • AECS
  • ACES AP0
  • ACES AP1
  • BT 709
  • BT 2020
  • BT 2100 in 2016 to include HDR
  • HDR High Dymanic Range
  • HDR 10
  • SLog3
  • Fusion
  • Resolve
  • After Effects
  • OCIO
  • IDT
  • ODT
  • RRT
  • Red
  • Arri
  • Sony
  • Canon
  • Octane
  • CG
  • Linear representation of light
  • Gamma Curve
  • Log Gamma Curve
  • Log Profiles
  • Dynamic Range
  • Linearize work flow
  • Wide Gamut color space
  • Rendering engines
  • VRay
  • Arnold
  • Redshift
  • Octane
  • Cinema 4d
  • Blender
  • EXR linearize
  • Reference Rendering Transform
  • Color Manager OCIO
  • SLog
  • ACES CC
  • ACES CCT
  • Wave Form
  • DaVinci Resolve
  • After Effects
  • FS7
  • Rushes
  • Academy of Motion Picture Arts and Sciences
  • American Society of Cinematographers ASC
  • Digital Cinema Initiatives DCI
  • Society of Motion Picture and Television Engineers SMPTE
  • OpenColor IO
  • 32 bit per channel
  • 8 Bit
  • ACES CG Input
  • REC 709 Output

Human Vision

Source: https://z-fx.nl/ColorspACES.pdf

Color Models of Human Vision

Please see my two previous posts.

On Light, Vision, Appearance, Color and Imaging

Digital Color and Imaging

Digital Color

Source: What is 4K, UHD, SLog3, Rec 2020

The process of capturing and reproducing images requires a collaboration of camera sensors, file formats, rendering technologies, and display or printer technologies. All of these have different ways and different capabilities of representing color and intensity. In addition, they are all different from how our eyes work which further complicates things. As a result, over the years, several standards and processes have been implemented to accomplish this. They all involve some aspects of how to capture and store colors, what range of colors can be dealt with and how to adjust intensity to best reproduce the real world. To understand the new 4k technologies, including SLOG3, HDR, Rec 2020 etc, an understanding of the following is needed.

  • Gamut
  • Bit Depth
  • Gamma
  • Gamma Correction
  • Color spaces

Color Gamut

Source: https://z-fx.nl/ColorspACES.pdf

Color Capture in Digital Video and Cinema

Source: HOW DOES A DIGITAL CAMERA SENSOR WORK?

A modern digital camera’s sensor comes in one of two varieties generally. It will either be a Complementary Metal Oxide Semiconductor (CMOS), or a Charge-Coupled Device (CCD) sensor. The CCD type is mainly used in older models, but is still used on some modern cameras. Each type has its own advantages and disadvantages, but that is a topic for another article.

The most basic way you can understand how a sensor works is when the shutter opens, the sensor captures the photons that hit it and that is converted to an electrical signal that the processor in the camera reads and interprets as colors. This information is then stitched together to form an image. That is insanely over-simplified though.

The more complex answer is that a sensor is made up of millions of cavities called “photosites,” and these photosites open when the shutter opens and close when the exposure is finished (the number of photosites is the same number of pixels your camera has). The photons that hit each photosite are interpreted as an electrical signal that varies in strength based on how many photons were actually captured in the cavity. How precise this process is depends on your camera’s bit depth.

If we looked at a picture that was taken with just that electrical data mentioned earlier from the sensor, then the images would actually be in gray-scale. How we get colored images is by what’s known as a “Bayer filter array.” A Bayer filter is a colored filter placed over-top of each photosite and is used to determine the color of an image based on how the electrical signals from neighboring photosites measure. The colors of the filters are the standard red, green and blue, with a ratio of one red, one blue and two green in every section of four photosites.

The red filter allows red light to be captured, the blue allows blue light in and the green allows green light in. The light that doesn’t match that photosites filter is reflected. This means that we are losing two-thirds of the light that can be captured and it is only of one color for each photosite. This forces the camera to guess what the amount of the other two colors is in each given pixel.

The data that is interpreted by the sensor with the Bayer filter array is what a RAW image file is.

The camera then goes through a process to estimate how much of each color of light there was for each photosite and colors the image based on that guessing.

Single Sensor Vs Multiple Sensors in Cameras

  • Sensor Type
    • CCD
    • CMOS
  • Sensor Size
    • Full Frame
    • APS-C
  • Sensor Numbers
    • Single – 1 CMOS or 1CCD
    • Multiple – 2CCD, 3CCD, 3CMOS
  • Sensor Pixels
    • 24 MP
    • 48 MP
  • Sensor Dynamic Range
    • Range of brightness sensor captures
    • 14 Stops
    • 20 Stops

A camera sensor can only capture a limited range of light. When a scene extends beyond that range of light, techniques such as filters, flash, and editing techniques can still create a dramatic, well-detailed image.

Comparison of different sensor sizes

Image Source: Camera Sensor Sizes Explained: What You Need to Know

Source: Camera Sensor Sizes Explained: What You Need to Know

Cameras with Single Image Sensor

With CFA Color Filter Array

  • Bayer CFA

Bayer CFA

Source:

Conversion of RAW files

Source: https://z-fx.nl/ColorspACES.pdf

Cameras with multiple Image Sensors

Cameras with multiple sensors do not require Bayer CFA.

  • 3 CCD – Single color info per sensor
  • 3 CMOS – Single color info per sensor
  • 4 CCD – Single color info per sensor plus Near Infra Red (NIR) info

Color Spaces in the Digital Video and Cinema

Image Source: Common Color Spaces

Gamut of Color Spaces

Color Space is characterized based on how much of its gamut covers the CIE Chromaticity Diagram.

Image Source: Why Every Editor, Colorist, and VFX Artist Needs to Understand ACES

Source: The Pointer’s Gamut
The coverage of real surface colors by RGB color spaces and wide gamut displays

Source: The Pointer’s Gamut
The coverage of real surface colors by RGB color spaces and wide gamut displays

Device Dependent Color Spaces

Capture Devices

Professional Cameras for Cinematography and Videography from

  • Sony
  • Canon
  • Arri
  • Red

Camera Sensor Dynamic Range

Image Source: Understanding 4K, Ultra HD and HDR

Conversion of RAW to Video Formats

Image Source: Understanding 4K, Ultra HD and HDR

Sony SLog Transfer Function

Image Source: Understanding 4K, Ultra HD and HDR

Sony Transfer Functions

Image Source: Understanding 4K, Ultra HD and HDR

Other Transfer Functions

Image Source: Understanding 4K, Ultra HD and HDR

Sony Color Spaces

Image Source: Understanding 4K, Ultra HD and HDR

Slog, Gamma, and Gamut

Source: Are S-Log and Color Space separate things?

S-log is a specific gamma, color space is a general term referring to gamuts. A very crude way of thinking is gamma refers to brightness and gamut refers to color.

It’s important to know which gamma and gamut you are recording in as this helps to ensure there is correct gamma and gamut mapping from capture to exhibition.

What is Gamma?

Gamma is also called Tone Mapping.

Source: What is 4K, UHD, SLog3, Rec 2020

Each pixel has a brightness level, which is the average of {red, green, blue} values, and this is called its luminance. In order to reproduce an image from capture to display, the luminance needs to be accurately reproduced. Since sensors and displays can have different luminance characteristics, there needs to be a mapping or relationship between a pixel’s numerical values and the actual luminance…this relationship is called the Gamma.

Linear Space is counter to Gamma Space or Log Space.

Log Space or Gamma Space

Log Curve simulates a non-linear curve. Log Color Profiles can be created for a camera.

  • Arri LogC
  • Cineon Dpx
  • RedLogFilm
  • Canon-Log

Source: LOG COLOR IN-DEPTH

Every professional camera manufacturer and almost every VFX and grading package has a Log workflow. Camera companies such as Arri, Sony, Canon, Red and many others implement their own flavors of Log color space. With the Log workflow it is possible to fit more dynamic range into an image and simulate nonlinear film response to light. The term Log is derived from the word logarithm, which is a fancy name for a function which outputs exponents for the given number.

Log Spaces of Different Brands

Source: LOG COLOR IN-DEPTH

Gamma Curve = Tone Curve = Log Curve

Log footage is an important part of the post-production workflow. Here’s what you need to know.

Source: UNDERSTANDING LOG AND COLOR SPACE IN COMPOSITING

As digital filmmaking becomes more and more affordable, technologies become increasingly available to colorists or post-production professionals. In this case, Log footage. The Log (logarithmic) color space has been around for quite a while. Initially high-end post houses used it with scanned film negatives in a color space called Cineon Log. Now, pretty much all camera manufacturers offer their own Log curve (or multiple). There is S-Log 2&3 (Sony), LogC (Arri), Canon LogV-Log (panasonic), Red LogfilmBlackmagic Log, etc. Each of them are different, usually tailored for the color science of the particular manufacturer’s products.

The biggest reason to use the Log color curve is how it retains the most dynamic range of information from the camera sensor (or film negative). It encodes what the camera sees logarithmically, meaning that the correlation between the exposure of the image (measured in stops) and the recorded image  is completely constant over a wider range. It utilizes more of the sensor’s information than a standard video curve because it’s saving as much data as possible rather than capturing specifically for the human eye or a video screen. This gives you much more color data to work with in post-production.

Linear Space

Source: Color Management/Blender

For correct results, different Color Spaces are needed for rendering, display and storage of images. Rendering and compositing is best done in scene linear color space, which corresponds more closely to nature, and makes computations more physically accurate.

Log Space to Linear Space Conversion

Source: LOG COLOR IN-DEPTH

In conclusion, to bring an image into the log color space all we need to do is to apply a logarithmic function which transforms values of pixels based on the log curves above. To linearize a log picture, we use an exponent function. Since the log color space is a mathematical transformation of values of pixels, it can be used with any types of file format, bit depth and channel. 

White Point

Is the color temperature of light. Outdoors, Indoor, Sunny, Cloudy conditions affect White Point. In Cameras white point can be adjusted depending on light conditions. D65 simulates daylight.

  • D50 – 5000 K
  • D60 – 6000 K
  • D65 – 6500 K

sRGB uses D65 vs ACES uses D60.

Source: https://z-fx.nl/ColorspACES.pdf

So do you understand these now?

  • LUT (Look Up Tables)
  • EOTF (Electro-Optical Transfer Function) – Linear to Non Linear or Log Conversion
  • OETF (Optio-Electro Transfer Function) – Log to Linear Conversion
  • Gamma Curve – Popular Name for EOTF
  • Gamma Correction
  • Log Curve (Non Linear Data)
  • Linear Curve (Linear Data)
  • High Dynamic Range HDR
  • Standard Dynamic Range SDR
  • White Point
  • IDT – Input Data Transform
  • ODT – Output Data Transform
  • Log LUT
  • f-Stops

A pair of Gamma and Gamut data is requied for encoding to display colors.

A device dependent RGB color space has standard primaries, gamma, and a whitepoint such as D50 or D65.

  • Primaries (R G B) for Color
  • Gamma for Luminance, and
  • White Point

Source: The Essential Guide to Color Spaces

Now that we’ve discussed these three parameters, here are some practical examples:

An Arri Alexa records media in Arri Wide Color Gamut, with an Arri Log C tone mapping curve, and a white point ranging from 2,000K to 11,000K.

A RED Dragon captures media in RedWideGamutRGB gamut, with a Log3G10 tone mapping curve, and a white point ranging from 1,700K to 10,000K (other gamut and gamma choices are available).

A cinema projector has a DCI-P3 gamut, a Gamma 2.6 tone mapping curve, and a standard illuminant D63 white point.

An SDR TV has a Rec 709 gamut, a Gamma 2.4 tone mapping curve, and a standard illuminant D65 white point.

Display Devices

  • Display Projectors
  • Television
  • Computer Monitors

Three advantages in newer display devices

  • Color
    • Color Space
    • Bit Depth
    • Gamma
    • Gamma Correction
  • Resolution
    • 4K vs 8K
  • Luminance
    • Nits

Image Source: What is 4K, UHD, SLog3, Rec 2020

Color Spaces used in Display Devices

Image Source: What is 4K, UHD, SLog3, Rec 2020

Display Resolution

Image Source: WHAT IS 4K, UHD, SLOG3, REC 2020

Bit Depth

Image Source: WHAT IS 4K, UHD, SLOG3, REC 2020

Color Specification using Color Management option in displays

Color Management in Digital Video and Cinema Production

In production of

  • Feature Film
  • Television
  • OTT
  • Live Production

SDR with REC 709 Color Space

Image Source: Understanding 4K, Ultra HD and HDR

SDR with S-Gamut3 and REC 2020

Image Source: Understanding 4K, Ultra HD and HDR

Process Flow

Image Source: Understanding 4K, Ultra HD and HDR

Live Production

Image Source: Understanding 4K, Ultra HD and HDR

Image Source: WHAT IS 4K, UHD, SLOG3, REC 2020

Operations during Production Process
  • Shoot
  • Convert
  • Edit/Grading
  • Conforming
  • Compositing/Rendering/VFX/CG
  • Convert
  • Deliverables
Color Space Hierarchy in Process Flows

  • Scene Referred – Input data has higher priority
  • Display Referred – Output data has higher priority

Source: https://z-fx.nl/ColorspACES.pdf

Source:

Process Flows in ACES

Source: https://z-fx.nl/ColorspACES.pdf

Source: https://z-fx.nl/ColorspACES.pdf

Working with ACES

Source: https://z-fx.nl/ColorspACES.pdf

CG and VFX Process Flows

Source: https://z-fx.nl/ColorspACES.pdf

The ‘Parts’ Of ACES

Source: Why Every Editor, Colorist, and VFX Artist Needs to Understand ACES

Even though ACES and its various transforms are quite mathematically complex, you can understand ACES better by understanding what each part or transform in the pipeline does.

Here’s the terminology for each of these transforms:

ACES Input Transform (aka: IDT or Input Device Transform)

The Input Transform takes the capture-referred data of a camera and transforms it into scene linear, ACES color space. Camera manufacturers are responsible for developing IDTs for their cameras but the Academy tests and verifies the IDTs. In future versions of ACES, the Academy may take on more control in the development of IDTs. IDTs, like all ACES transforms, are written using the CTL (Color Transform Language) programming language. It’s also possible to utilize different IDTs to compensate for different camera settings that might have been used.

ACES Look Transform (aka: LMT or Look Modification Transform)

The first part of what’s known as the ACES Viewing Transform (the Viewing Transform is a combination of LMT, RRT, & ODT transforms). LMTs provide a way to apply a look in a similar way to a Look Up Table (LUT). It’s important to note that the LMT happens after color grading of ACES data. Also, not every tool supports the use of LMTs.

RRT (Reference Rendering Transform)

Think of the RRT as the render engine component of ACES. The RRT converts scene referred linear data to an ultrawide display-referred data set. The RRT works in combo with the ODT to create viewable data for displays and projectors. While the Academy publishes the standard RRT, some applications have the ability to use customized RRTs (written with CTL). But many color correction systems do not provide direct access to the RRT.

ACES Output Transform (also known as the ODT or Output Device Transform)

The final step in the ACES processing pipeline is the ODT. This takes the high dynamic range data from the RRT and transforms it for different devices and color spaces. Like P3 or Rec 709, 2020, etc. Like IDTs and RRTs, ODTs are written with CTL.

Derivative Standards

Source: Why Every Editor, Colorist, and VFX Artist Needs to Understand ACES

There are also three main subsets of ACES used for finishing workflows called ACEScc, ACEScct and ACEScg:

  • ACEScc uses logarithmic color encoding and has the advantage of making color grading tools feel much more like they do when working in a log space that many colorists prefer.
  • ACEScct is just like ACEScc, but adds a ‘toe’ to the encoding. This means that lift operations respond similarly to traditional log film scans. This quasi-logarithmic behavior is described as being more milky, or foggier. ACEScct was added with the ACES 1.03 specification. It’s meant as an alternative to ACEScc based on the feedback of many colorists.
  • ACEScg utilizes linear color encoding and is designed for VFX/CGI artists so their tools behave more traditionally.

The ACES Pipeline

Source: Why Every Editor, Colorist, and VFX Artist Needs to Understand ACES

Now that we’ve defined the transforms used for ACES, understanding how the various transforms combine to form an ACES processing pipeline is pretty straightforward:

Camera Data -> Input Transform -> Color Grading -> Look Transform (optional) -> Reference Rendering Transform -> Output Transform

As mentioned, ACES is a hybrid color management system of scene referred/scene linear and display referred data.

Source: Why Every Editor, Colorist, and VFX Artist Needs to Understand ACES

Source: COLOUR MANAGEMENT BASICS

Source: COLOUR MANAGEMENT BASICS

Source: COLOUR MANAGEMENT BASICS

Source: COLOUR MANAGEMENT BASICS/Autodesk

Color Throttle

Because of bottlenecks in hardware and software, the color captured during the image/video capture process does not flow in its entirty to the displays of the users. Use of hardware and color spaces used during production process determines the output displayed. Color is thus throttled.

Color Throttle when using REC 709 Color Space

Image Source: BT.2020: How the Newest Color Range Standard Maximizes 4K Video Quality

Color Throttle when using REC 2020 Color Space

Image Source: BT.2020: How the Newest Color Range Standard Maximizes 4K Video Quality

Human Visual Dynamic Range Vs REC 2020 Range

Source: BT.2020: How the Newest Color Range Standard Maximizes 4K Video Quality

Source:

Softwares used in Post Production in Digital Video and Cinema

Source: digitalfilmpro.com

Video Editing Software and Hardware
  • Non Linear Editor
    • Avid Media Composer
    • Adobe Premiere Pro
    • Final Cut Pro
    • DaVinci Resolve – color correction plus NLE
    • Vegas Pro
  • Digital Audio Workstation
    • Avid Pro Tools
    • Apple Logic Pro X
    • Ableton Live 9
    • Cakewalk Sonar
    • Adobe Audition
  • Close-Captioning and Subtitling
    • Aegisub
    • NLEs
  • Edit Workstation
    • Edit Computer
    • Audio Equipment
    • File Sharing
      • KVM Extender
    • Editing Keyboard
    • Desk Chair
  • Digital Audio Transcipts

Creative Apps
  • RV
  • Adobe After Effects
  • Adobe Premiere Pro
  • SideFX Houdini
  • Unreal Engine
  • Unity
  • Perforce Helix Core
  • Adobe Creative Cloud
  • Adobe Illustrator
  • Autodesk 3DS Max
  • Autodesk Maya
  • Autodesk RV
  • Cinesync
  • Connect
  • Deadline
  • Foundry Hiero
  • Foundry Hiero Player
  • Foundry Nuke
  • Foundry Nuke Studio
  • Maxon Cinema 4D

Free Video Editing Tools
  • DaVinci Resolve
  • Lightworks
  • HitFilm Express
  • Avid Media Composer First
  • iMovie

Free Video Production Software Tools
  • Audacity – multitrack audio recorder
  • Ardour – DAW
  • GIMP- image editing
  • Blender – 3D Creation
  • Nuke Studio – Compositor – Node Based visual FX (VFX), editing, and finishing Studio
  • Blackmagic Fusion – Full feaured Compositor – Motion Graphics

3D Rendering Softwares
  • Unity
  • 3Ds Max Design
  • Maya
  • Cinema 4D
  • Blender
  • Keyshot
  • V-Ray
  • Lumion
  • SOLIDWORKS Visualize
  • Direct 3D
  • RenderMan
  • Redshift
  • Octane Render
  • Arnold
  • Maxwell
Color Management in Applications

Source: DISPLAY CALIBRATION & COLOR MANAGEMENT

Cameras for Video

Budget Cinema Cameras
  • Black Magic Pocket Cinema Camera
  • Black Magic Pocket Camera 4K
  • Z Cam E2C 4K Cine Camera MFT
  • Panasonic GH5

Best Cameras for Videographers

Source: Best cameras for videographers/DPREVIEW.COM

Published Nov 24, 2020

  • Panasonic Lumix DC – S1H
  • Panasonic Lumix DC-GH5
  • Canon EOS R6
  • Fujifilm X-T4
  • Nikon Z6
  • Nikon Z6 II
  • Panasonic Lumix Dc-GH5S
  • Sigma fp
  • Sony a7S III

Best 4K and 6K Cameras for Film making

Source: https://www.youtube.com/watch?v=o0muduTpveM&t=244s

  • Sony Alpha a7 III
  • Panasonic Lumix GH5S
  • Sony PXW FSM2
  • Panasonic Lumix S1H
  • Blackmagic Pocket Cinema 6K
  • Canon EOS C300 Mark II
  • Panasonic AU-EVA1
  • Blackmagic Design URSA Mini Pro G2
  • Sony PXW FS9
  • Canon C500 Mark II

Best Camcorders for Videographers

Source: Youtube

  • Panasonic HC-X2000
  • Sony PXW-Z280
  • Canon XA55
  • Panasonic AG-CX10
  • JVC GY-HC500U
  • Sony PXW-Z90
  • Panasonic HC-X1
  • Canon XF 705
  • JVC GY-HM250
  • Sony FDR -AX700

My Related Posts

Digital Color and Imaging

On Light, Vision, Appearance, Color and Imaging

Key Sources of Research

Why Every Editor, Colorist, and VFX Artist Needs to Understand ACES

Working with ACES in DaVinci Resolve

Oliver Peters

https://digitalfilms.wordpress.com/2020/10/02/working-with-aces-in-davinci-resolve/

Color Management and ACES Workflow

CG Cinematography

The Pointer’s Gamut
The coverage of real surface colors by RGB color spaces and wide gamut displays

Kid Jansen, Updated 19 February 2014

https://www.tftcentral.co.uk/articles/pointers_gamut.htm

ACES: Where Are We Now?

by Geoff Smith on August 14, 2020

https://www.abelcine.com/articles/blog-and-knowledge/tutorials-and-guides/aces-where-are-we-now

What is 4K, UHD, SLog3, Rec 2020

And other really boring things.

Compiled By Peter Morrone

BT.2020: How the Newest Color Range Standard Maximizes 4K Video Quality

BenQ

2020/05/29

https://www.benq.com/en-us/knowledge-center/knowledge/bt2020.html

Color Spaces in Visual Effects

Color Spaces

February 15, 2019

https://ciechanow.ski/color-spaces/

Chapter 1 Color Management

Color Spaces / MAYA/Autodesk

https://knowledge.autodesk.com/support/maya/learn-explore/caas/CloudHelp/cloudhelp/2020/ENU/Maya-Rendering/files/GUID-4410C27C-BB49-491B-AD13-14F48A8CCAAE-htm.html

Elle Stone’s Well-Behaved ICC Profiles and Code

https://ninedegreesbelow.com/photography/lcms-make-icc-profiles.html

ACES Workflow

Common Color Spaces

Color for Motion Pictures and Games

From Design to Display
  • Haarm-Pieter Duiker
  • Alex Forsythe
  • Stefan Luka
  • Thomas Mansencal
  • Jeremy Selan
  • Kevin Shaw
  • Nick Shaw

A VES Technology Committee White Paper
2019

https://nick-shaw.github.io/cinematiccolor/common-rgb-color-spaces.html

Cinematic Color From Your Monitor to the Big Screen

A VES Technology Committee White Paper Oct 17, 2012

Color Enhancement and Rendering in Film and Game Production: Color Management

Joseph Goldstone Lilliputian Pictures LLC

COLOR CORRECTION HANDBOOK:
Professional Techniques for Video and Cinema

Second Edition 

Alexis Van Hurkman

Peachpit Press http://www.peachpit.com

Colour Appearance Issues in Digital Video, HD/UHD, and D‐cinema

Charles Poynton

Understanding Color Management,

Second Edition

First published:18 July 2018

https://onlinelibrary.wiley.com/doi/book/10.1002/9781119223702

COLOR MANAGEMENT WITH CINEMA

Red

https://www.red.com/red-101/cinema-color-management

Digital Color Management

Encoding Solutions

Giorgianni, Edward J / Madden, Thomas E

The Basics of High Dynamic Range Media Explained [u]

Posted on July 27, 2019 by Larry

Understanding 4K, Ultra HD and HDR

Sony

COLOUR REPRODUCTION IN ELECTRONIC IMAGING SYSTEMS

PHOTOGRAPHY, TELEVISION, CINEMATOGRAPHY

Michael S Tooms

Digital Camera Reviews and Sensor Performance Summary

by Roger N. Clark

https://clarkvision.com/imagedetail/digital.sensor.performance.summary/

How to Use Dynamic Range for Stunning Photos in Bright Light

2 CCD , 3 CCD cameras, 4 CCD and 3 CMOS Cameras

http://www.adept.net.au/cameras/2CCD_3CCD_Cameras.shtml

CCD Sensors, Albert Einstein, and the Photoelectric Effect

https://www.radiantvisionsystems.com/blog/ccd-sensors-albert-einstein-and-photoelectric-effect

Color Management for Photographers – A Simplified Guide

Camera Sensor Sizes Explained: What You Need to Know

https://www.studiobinder.com/blog/camera-sensor-size/

Reading 15: Color

http://web.mit.edu/6.813/www/sp18/classes/15-color/

The Fundamentals of Camera and Image Sensor Technology

Jon Chouinard

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https://www.sensorland.com/HowPage090.html

Color Spaces, Log and Gamma

3.4 Color Spaces, Log and Gamma

LOG COLOR IN-DEPTH

Renderstory

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https://onlinelibrary.wiley.com/doi/pdf/10.1002/msid.1060

Understanding RGB Color Spaces for Monitors, Projectors, and Televisions

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First published: 26 March 2019

https://onlinelibrary.wiley.com/doi/full/10.1002/msid.1020

UHDTV – HDR and WCG

Understanding UHDTV Displays with PQ/HLG HDR, and WCG

https://www.lightspace.lightillusion.com/uhdtv.html

Color Management

https://docs.blender.org/manual/en/latest/render/color_management.html

Color Space Management: sRGB, Linear and Log

https://tiberius-viris.artstation.com/blog/3ZBO/color-space-management-srgb-linear-and-log

GAMMA AND LINEAR SPACE – WHAT THEY ARE AND HOW THEY DIFFER

https://www.kinematicsoup.com/news/2016/6/15/gamma-and-linear-space-what-they-are-how-they-differ

Are S-Log and Color Space separate things?

Understanding Log and Color Space In Compositing

RENDER COLOR SPACES

23 JUNE 2016

Anders Langlands

https://www.colour-science.org/anders-langlands/

Understanding High Dynamic Range (HDR) Imaging by Curtis Clark, ASC 

A Cinematographer Perspective

https://cms-assets.theasc.com/curtis-clark-asc-understanding-high-dynamic-range.pdf?mtime=20180502122857

Color Science Fundamentals in Motion Imaging

March 14, 2019 01:00 PM

https://www.smpte.org/events/color-science-fundamentals-in-motion-imaging

What is RAW Development?

Colour Management Basics

Autodesk Feb 2020

The Best Rendering Software for CG Lighting for Animation

by Tina Lee | Feb 14, 2019

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January 7, 2020

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Dell Color Management Software

User Manual

Adjusting for the Scene Adopted White

White Point Conversion

https://knowledge.autodesk.com/support/maya/learn-explore/caas/CloudHelp/cloudhelp/2016/ENU/Maya/files/GUID-2C925F6A-5A9C-4B2B-B732-90F4C3D2EB49-htm.html

A Complex Color Management Example

https://knowledge.autodesk.com/support/maya/learn-explore/caas/CloudHelp/cloudhelp/2016/ENU/Maya/files/GUID-7D579180-1E60-43DD-BB9C-0C00D1968F53-htm.html

Common Color Management Scenarios

https://knowledge.autodesk.com/support/maya/learn-explore/caas/CloudHelp/cloudhelp/2016/ENU/Maya/files/GUID-B2CD60E0-C100-45A4-9595-84D2DF98B268-htm.html

A Conversation about White Point and Digital Displays [Interview]

https://www.nanolumens.com/blog/an-imaginary-conversation-about-white-point-and-digital-displays/

Gamma and White Point Explained: How to Calibrate Your Monitor

https://blogs.scientificamerican.com/symbiartic/how-to-calibrate-your-monitor/

Why is the media white point of a display profile always D50?

http://www.color.org/whyd50.xalter

Colour Management for Video Editors

Display Calibration & Color Management

https://www.mysterybox.us/blog/2017/9/7/display-calibration-color-management

Color Communication

How does a digital camera sensor work?