000			02170nam a22003257a 4500
003			EG-NcFUE
005			20260211133217.0
008			260211s2008 ua|a|||| |||| 00| 0 eng d
020			_a9781598292145
040			_cEG-NcFUE _beng _erda
043			_aua
082	0	4	_a621.367 _222 _bMKH
100	1		_aMyszkowski, K. _q(Karol)
245	1	0	_aHigh dynamic range video/ _cKarol Myszkowski, Rafal Mantiuk, Grzegorz Krawczyk.
250			_a1st edition
264		1	_aSan Rafael, Calif (1537 Fourth Street, San Rafael, CA 94901 USA) : _bMorgan & Claypool Publishers, _c2008.
300			_a170 pages: _billustrations; _c22 cm.
336			_atext _btxt _2rdacontent
337			_2rdamedia _aunmediated
338			_avolume _bcr _2rdacarrier
504			_aIncludes bibliographical references (pages 145-156).
505	0		_aIntroduction -- 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.
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 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.
650	1	4	_aImage processing _xDigital techniques.
650	1	4	_aImaging systems _xImage quality.
650	1	4	_aDigital video.
700	1		_aKrawczyk, Grzegorz.
700	1		_aMantiuk, Rafał.
942			_2ddc _cBK
999			_c13430 _d13430