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High dynamic range video/ Karol Myszkowski, Rafal Mantiuk, Grzegorz Krawczyk.

By: Contributor(s): Material type: TextTextPublisher: San Rafael, Calif (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, 2008Edition: 1st editionDescription: 170 pages: illustrations; 22 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781598292145
Subject(s): DDC classification:
  • 621.367 22 MKH
Contents:
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.
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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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Books Books Main library Computers & Information Technology ( General ) 621.367 MKH (Browse shelf(Opens below)) C.1 Available 00017713

Includes bibliographical references (pages 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.

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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