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008			220601s2008 sz | o |||| 0|eng d
020			_a9783031795282
024	7		_a10.1007/978-3-031-79528-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA1637 _b2008 EB
100	1		_aMyszkowski, K. _q(Karol) _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688368
245	1	0	_aHigh Dynamic Range Video _cby Karol Myszkowski, Rafal Mantiuk, Grzegorz Krawczyk
250			_a1st edition 2008
264		1	_aCham _bSpringer International Publishing _c2008
300			_a1 recurso en línea (XI, 158 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Computer Graphics and Animation _x1933-9003
505	0		_aIntroduction -- 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.
520			_aAs 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 toHDRimaging, it is necessary to develop imaging algorithms that work with the high-precision data. Tomake 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. This book presents a complete pipeline forHDR image and video processing fromacquisition, through compression and quality evaluation, to display. At the HDR image and video acquisition stage specialized HDR sensors or multi-exposure techniques suitable for traditional cameras are discussed. Then, we present a practical solution for pixel values calibration in terms of photometric or radiometric quantities, which are required in some technically oriented applications. Also, we cover the problem of efficient image and video compression and encoding either for storage or transmission purposes, including the aspect of backward compatibility with existing formats. Finally, we review existing HDR display technologies and the associated problems of image contrast and brightness adjustment. For this purpose tone mapping is employed to accommodate HDR content to LDR devices. Conversely, the so-called inverse tone mapping is required to upgrade LDR content for displaying on HDR devices. We overview HDR-enabled image and video quality metrics, which are needed to verify algorithms at all stages of the pipeline. Additionally, we cover successful examples of the HDR technology applications, in particular, in computer graphics and computer vision. The goal of this book is to present all discussed components of the HDR pipeline with the main focus on video. For some pipeline stages HDR video solutions are either not well established or do not exist at all, in which case we describe techniques for single HDR images. In such cases we attempt to select the techniques, which can be extended into temporal domain. Whenever needed, relevant background information on human perception is given, which enables better understanding of the design choices behind the discussed algorithms and HDR equipment. Table of 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.
988			_aSynthesis Collection of Technology_2008
650		7	_2embne _9413188 _aProceso digital de imágenes
650		7	_2embne _9156182 _aVídeo digital
700	1		_aMantiuk, Rafał _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688369
700	1		_aKrawczyk, Grzegorz _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688370
776	0	8	_iPrinted edition: _z9783031795275
776	0	8	_iPrinted edition: _z9783031795299
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-79528-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2023 _dz _eb _zSI