MARC record from Internet Archive

LEADER: 04575cam 2200769 a 4500
001 ocn299608369
003 OCoLC
005 20220813224633.0
008 090126s2008 caua fob 000 0 eng d
006 m eo d
007 cr an||m|||a||
040 $aCaBNvSL$beng$epn$cCIT$dCIT$dPUL$dOCLCQ$dCEF$dEBLCP$dN$T$dOCLCQ$dOCLCF$dOCLCQ$dCOO$dDEBSZ$dOCLCQ$dINT$dOCLCQ$dLHU$dWYU$dUWO$dYOU$dOCLCQ$dOL$$dOCLCQ$dLEAUB$dOCLCQ$dSFB$dOCLCO$dUIU$dOCLCO$dOCLCQ
019 $a271819625$a1027294425$a1044215815$a1056390150$a1067229164$a1086491820$a1264478642$a1285211665
020 $a9781598292152$q(electronic bk.)
020 $a1598292153$q(electronic bk.)
020 $z9781598292145
020 $z1598292145
024 7 $a10.2200/S00109ED1V01Y200806CGR005$2doi
035 $a(OCoLC)299608369$z(OCoLC)271819625$z(OCoLC)1027294425$z(OCoLC)1044215815$z(OCoLC)1056390150$z(OCoLC)1067229164$z(OCoLC)1086491820$z(OCoLC)1264478642$z(OCoLC)1285211665
050 4 $aTA1637$b.M974 2008
055 3 $aTA1637$b.M974 2008
072 7 $aTEC$x015000$2bisacsh
082 04 $a621.36/7$222
100 1 $aMyszkowski, K.$q(Karol)
245 10 $aHigh dynamic range video /$cKarol Myszkowski, Rafal Mantiuk, Grzegorz Krawczyk.
250 $a1st ed.
260 $aSan Rafael, Calif (1537 Fourth Street, San Rafael, CA 94901 USA) :$bMorgan & Claypool Publishers,$c2008.
300 $a1 online resource (xi, 158 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aSynthesis lectures on computer graphics and animation,$x1932-9003 ;$v#5
504 $aIncludes bibliographical references (pages 145-156).
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 to HDR imaging, 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.
546 $aEnglish.
650 0 $aImage processing$xDigital techniques.
650 0 $aImaging systems$xImage quality.
650 0 $aDigital video.
650 6 $aTraitement d'images$xTechniques numériques.
650 6 $aImagerie (Technique)$xQualité de l'image.
650 6 $aVidéo numérique.
650 7 $adigital imaging.$2aat
650 7 $aTECHNOLOGY & ENGINEERING$xImaging Systems.$2bisacsh
650 7 $aDigital video.$2fast$0(OCoLC)fst00893738
650 7 $aImage processing$xDigital techniques.$2fast$0(OCoLC)fst00967508
650 7 $aImaging systems$xImage quality.$2fast$0(OCoLC)fst00967612
655 4 $aElectronic books.
700 1 $aKrawczyk, Grzegorz.
700 1 $aMantiuk, Rafal.
730 0 $aSynthesis digital library of engineering and computer science.
776 1 $z9781598292145$z1598292145
830 0 $aSynthesis lectures in computer graphics and animation (Online) ;$v5.
856 40 $3EBSCOhost$uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=440202
856 40 $3Morgan & Claypool$uhttp://www.morganclaypool.com/doi/abs/10.2200/S00109ED1V01Y200806CGR005
856 40 $3Morgan & Claypool$uhttps://doi.org/10.2200/S00109ED1V01Y200806CGR005
856 40 $3ProQuest Ebook Central$uhttps://public.ebookcentral.proquest.com/choice/publicfullrecord.aspx?p=880995
938 $aProQuest Ebook Central$bEBLB$nEBL880995
938 $aEBSCOhost$bEBSC$n440202
029 1 $aAU@$b000043481501
029 1 $aAU@$b000044822490
029 1 $aAU@$b000048636844
029 1 $aDEBSZ$b431111642
029 1 $aNLGGC$b401855880
029 1 $aNZ1$b13068669
994 $aZ0$bIME
948 $hNO HOLDINGS IN IME - 55 OTHER HOLDINGS