Vision Models for High Dynamic Range and Wide Colour Gamut Imaging: Techniques and Applications (Computer Vision and Pattern Recognition)

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en Limba Engleză Carte Paperback – 25 Nov 2019
Tone and Gamut Mapping for High Dynamic Range and Colour Gamut Imaging: Vision Models, Techniques and Applications explains tone and color gamut mapping in HDR and WCG imaging within a framework of vision science, presenting the underlying principles and latest practical methods. In addition, it highlights how the use of vision models is a key element of all state-of- the-art methods for these emerging technologies. This book provides university researchers and graduate students in computer science, computer engineering, vision science, and R&D engineers insights into the science and methods of tone and color gamut mapping in HDR and WCG.

  • Presents vision science principles and models that are essential to the emerging technologies of HDR and WCG
  • Provides state-of-the-art techniques for tone and gamut mapping
  • Covers current and proposed standards, open challenges and future directions of HDR and WCG research
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ISBN-13: 9780128138946
ISBN-10: 0128138947
Pagini: 314
Dimensiuni: 191 x 235 mm
Greutate: 0.56 kg
Seria Computer Vision and Pattern Recognition

Public țintă

University researchers and industry R&D engineers in computer vision, image and video processing. Graduate students taking a masters course in computer vision or image/video processing


Part 1: Vision Science overview 1. The biology of vision: retina, LGN, visual cortex, receptive fields, visual pathways, organization and feedback 2. Natural image statistics and efficient representation 3. Models for the perception of lightness, brightness, contrast and color 4. Open problems: limitations of the models, natural vs. artificial stimuli, viewing conditions, image quality assessment, individual differences.
Part II. Vision models for direct and inverse tone mapping in HDR imaging 5. Dynamic range of cameras and displays: the need for tone mapping, literature overview 6. System gamma, display characteristics, viewing conditions: effect on image appearance 7. Detail visibility and encoding: the standards PQ and HLG 8. State of the art: tone mapping methods based on vision models 9. Evaluation. Tone mapping metrics vs psychophysical tests. Limitations of objective metrics 10. Inverse tone mapping 11. Open problems, future directions: vision model limitations, dynamic range and spatiotemporal artifacts, guidelines for production and post-production of HDR content.
Part III. Vision models for color gamut mapping in WCG imaging 12. Color gamut of cameras and displays: the need for gamut mapping, literature overview 13. Display characteristics, viewing conditions: effect on image appearance 14. State of the art: gamut mapping methods based on vision models 15. Evaluation. Gamut mapping metrics vs psychophysical tests. Limitations of objective metrics 16. Open problems, future directions: vision model limitations, wide gamut and individual differences, guidelines for production and post-production of WCG content.


“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.