| Description |
1 online resource (1 online resource (xi, 158 pages : illustrations)) |
| Series |
Synthesis lectures on computer graphics and animation, 1932-9003 ; #5 |
|
Synthesis lectures in computer graphics and animation (Online) ; 5
|
| Contents |
Introduction -- Representation of an HDR image -- HDR image and video acquisition -- HDR image quality -- HDR image, video, and texture compression -- Tone reproduction -- HDR display devices -- LDR2HDR: recovering dynamic range in legacy content -- HDRI in computer graphics --Software |
| Summary |
As new displays and cameras offer enhanced color capabilities, there is a need to extend the precision of digital content. High Dynamic Range (HDR) imaging encodes images and video with higher than normal 8 bit-per-color-channel precision, enabling representation of the complete color gamut and the full visible range of luminance. However, to realize transition from the traditional to HDR imaging, it is necessary to develop imaging algorithms that work with the high-precision data. To make such algorithms effective and feasible in practice, it is necessary to take advantage of the limitations of the human visual system by aligning the data shortcomings to those of the human eye, thus limiting storage and processing precision. Therefore, human visual perception is the key component of the solutions we discuss in this book |
| Bibliography |
Includes bibliographical references (pages 145-156) |
| Subject |
Digital video.
|
|
Image processing -- Digital techniques.
|
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Imaging systems -- Image quality.
|
| Form |
Electronic book
|
| Author |
Krawczyk, Grzegorz.
|
|
Mantiuk, Rafał.
|
| ISBN |
1598292153 (electronic bk.) |
|
9781598292152 (electronic bk.) |
|
