To enhance the overall viewing experience (for cinema, TV, games, AR/VR) the media industry is continuously striving to improve image quality. Currently the emphasis is on High Dynamic Range (HDR) and Wide Colour Gamut (WCG) technologies, which yield images with greater contrast and more vivid colours. The uptake of these technologies, however, has been hampered by the significant challenge of understanding the science behind visual perception. Vision Models for High Dynamic Range and Wide Colour Gamut Imaging provides university researchers and graduate students in computer science, computer engineering, vision science, as well as industry R&D engineers, an insight into the science and methods for HDR and WCG. It presents the underlying principles and latest practical methods in a detailed and accessible way, highlighting how the use of vision models is a key element of all state-of-the-art methods for these emerging technologies.
To enhance the overall viewing experience (for cinema, TV, games, AR/VR) the media industry is continuously striving to improve image quality. Currently the emphasis is on High Dynamic Range (HDR) and Wide Colour Gamut (WCG) technologies, which yield images with greater contrast and more vivid colours. The uptake of these technologies, however, has been hampered by the significant challenge of understanding the science behind visual perception. Vision Models for High Dynamic Range and Wide Colour Gamut Imaging provides university researchers and graduate students in computer science, computer engineering, vision science, as well as industry R&D engineers, an insight into the science and methods for HDR and WCG. It presents the underlying principles and latest practical methods in a detailed and accessible way, highlighting how the use of vision models is a key element of all state-of-the-art methods for these emerging technologies.
1. Introduction
2. The biological basis of vision: the retina
3. The biological basis ov vision: LGN, visual cortex and L+NL
models
4. Adaptation and efficient coding
5. Brightness perception and encoding curves
6. Colour representation and colour gamuts
7. Histogram equalisation and vision models
8. Vision models for gamut mapping in cinema
9. Vision models for tone mapping in cinema
10. Extensions and applications
11. Open problems: an argument for new vision models rather than
new algorithms
Marcelo Bertalmío (Montevideo, 1972) is a full professor at Universitat Pompeu Fabra, Spain, in the Information and Communication Technologies Department. He received B.Sc. and M.Sc. degrees in electrical engineering from the Universidad de la República, Uruguay, and a Ph.D. degree in electrical and computer engineering from the University of Minnesota in 2001. He was awarded the 2012 SIAG/IS Prize of the Society for Industrial and Applied Mathematics (SIAM) for co-authoring the most relevant image processing work published in the period 2008–2012. Has received the Femlab Prize, the Siemens Best Paper Award, the Ramón y Cajal Fellowship, and the ICREA Academia Award, among other honours. He was Associate Editor for SIAM-SIIMS and elected secretary of SIAM’s activity group on imaging. He has obtained an ERC Starting Grant for his project “Image processing for enhanced cinematography and two ERC Proof of Concept Grants to bring to market tone mapping and gamut mapping technologies. He is co-coordinator of two H2020 projects, HDR4EU and SAUCE, involving world-leading companies in the film industry. He has written a book titled “Image Processing for Cinema, published by CRC Press in 2014, and edited the book “Denoising of Photographic Images and Video published by Springer in 2018. His current research interests are in developing image processing algorithms for cinema that mimic neural and perceptual processes in the visual system, and in investigating new vision models based on efficient representation, with fine-tuning by movie professionals.
"Dr. Bertalmío has written a very useful text that connects key
perceptual phenomena to image reproduction. His text nicely
explains the scientific and engineering foundations for many image
computations, including gamut mapping, tone mapping, and image
quality metrics. The material is a thoughtful reference for people
who wish to understand how analyses of human visual perception have
been transformed into applications that measure image quality. I am
particularly enthusiastic about his call for new vision models to
guide the future generation of displays and rendering!" --Professor
Brian A. Wandell, Director of the Center for Cognitive and
Neurobiological Imaging, Stanford University, USA
"A lot of our colour science relies on experiments done decades
ago, in viewing conditions that have very little to do with how we
consume dramatic content today. Marcelo Bertalmío’s book manages to
move the discussion forward into the 21st century - by describing
in detail how we see and process visual content, and the huge role
that adaptation and efficient encoding of the visual signal play
within it. But also by directly relating this knowledge to modern
high dynamic range display technology. This book is essential
reading for anyone who is interested in colour science for visual
media, and I will keep bugging my colleagues at FilmLight to read
it and to apply the wealth of knowledge contained in it towards our
advancement of visual storytelling technology." --Wolfgang Lempp,
founder and director, FilmLight Ltd, UK
"This book provides an in-depth background on vision science for
engineers working on imaging applications. It clearly explains how
HDR imaging must essentially utilize the adaptation characteristics
of the human visual system, and covers practical solutions for
HDR/SDR and WCG production based on a deep knowledge of vision
models." --Dr. Kenichiro Masaoka, NHK (Japan Broadcasting
Corporation) Science & Technology Research Laboratories, Japan
"This is a great book for anyone interested in tone and gamut
mapping. But this is also a great book for vision scientists in
general, linking our basic understanding of human vision gained
through neuroscience, psychophysics and the theory of efficient
coding to applications in imaging and cinema --- and it nicely
highlights the fundamental limitations of our current understanding
of the human visual system. I thoroughly enjoyed reading Marcelo
Bertalmío’s book and I hope it finds the wide readership it
deserves."--Professor Felix Wichmann, Tübingen University and Max
Planck Institute, Germany
"A comprehensive and rare synthesis of vision science and imaging
technology. This book is the go-to source for those wishing to
learn more about the neuroscience and psychophysics of vision and
its implications for the design of imaging and display pipelines to
achieve highest quality for the human observer. Such a book is long
overdue." --Professor Bruno Olshausen, Helen Wills Neuroscience
Institute and School of Optometry, UC Berkeley, USA
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