Vision Models for High Dynamic Range and Wide Colour Gamut Imaging: Techniques and Applications

✍ Scribed by Marcelo Bertalmío

• Publisher: Academic Press
• Year: 2019
• Tongue: English
• Leaves: 315
• Series: Computer Vision and Pattern Recognition
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Introduction
The biological basis of vision: the retina
The biological basis ov vision: LGN, visual cortex and L+NL models
Adaptation and efficient coding
Brightness perception and encoding curves
Colour representation and colour gamuts
Histogram equalisation and vision models
Vision models for gamut mapping in cinema
Vision models for tone mapping in cinema
Extensions and applications
Open problems: an argument for new vision models rather than new algorithms