Hidden Bibliographic Details
| Other authors / contributors: | Krawczyk, Grzegorz.
Mantiuk, Rafal.
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| ISBN: | 9781598292152 (electronic bk.)
9781598292145 (pbk.)
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| Notes: | Title from PDF t.p. (viewed on Nov. 8, 2008).
Series from website.
Includes bibliographical references (p. 145-156).
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
Also available in print.
System requirements: Adobe Acrobat Reader.
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| 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 HDRimaging, 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.
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| Standard no.: | 10.2200/S00109ED1V01Y200806CGR005
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