High dynamic range video
By: Myszkowski, K. (Karol).
Contributor(s): Krawczyk, Grzegorz | Mantiuk, Rafal.
Material type: BookSeries: Synthesis lectures on computer graphics and animation: #5.Publisher: San Rafael, Calif (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, 2008Edition: 1st ed.Description: 1 electronic text (xi, 158 p. : ill.) : digital file.ISBN: 9781598292152 (electronic bk.); 9781598292145 (pbk.).Uniform titles: Synthesis digital library of engineering and computer science. Subject(s): Image processing -- Digital techniques | Imaging systems -- Image quality | Digital video | High dynamic range imaging (HDRI)DDC classification: 621.36/7 Online resources: Abstract with links to resource Also available in print.Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
E books | PK Kelkar Library, IIT Kanpur | Available | EBKE138 |
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Part of: Synthesis digital library of engineering and computer science.
Series from website.
Includes bibliographical references (p. 145-156).
Introduction -- Representation of an HDR image -- HDR image and video acquistion -- 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.
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
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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.
Also available in print.
Title from PDF t.p. (viewed on Nov. 8, 2008).
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