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001 978-981-287-543-3
003 DE-He213
005 20200421112542.0
007 cr nn 008mamaa
008 150513s2015 si | s |||| 0|eng d
020 _a9789812875433
_9978-981-287-543-3
024 7 _a10.1007/978-981-287-543-3
_2doi
050 4 _aTK5102.9
050 4 _aTA1637-1638
050 4 _aTK7882.S65
072 7 _aTTBM
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aCOM073000
_2bisacsh
082 0 4 _a621.382
_223
100 1 _aTan, Ee-Leng.
_eauthor.
245 1 0 _aPerceptual Image Coding with Discrete Cosine Transform
_h[electronic resource] /
_cby Ee-Leng Tan, Woon-Seng Gan.
264 1 _aSingapore :
_bSpringer Singapore :
_bImprint: Springer,
_c2015.
300 _aVIII, 69 p. 35 illus., 6 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8112
505 0 _aIntroduction -- Computational Models for Just-Noticeable-Differences -- Perceptual Image Coding with Discrete Cosine Transform -- Validation of Computational Model for JND -- Concluding Remarks.
520 _aThis book first introduces classic as well as recent computational models for just-noticeable-difference (JND) applications. Since the discrete cosine transform (DCT) is applied in many image and video standards (JPEG, MPEG-1/2/4, H.261/3), the book also includes a comprehensive survey of computational models for JND that are based on DCT. The visual factors used in these computational models are reviewed in detail. Further, an extensive comparative analysis of these models using quantitative and qualitative performance criteria is presented, which compares the noise shaping performance of these models with subjective evaluation and the accuracy between the estimated JND thresholds and subjective evaluation. There are many surveys available on computational models for JND; however, these surveys seldom compare the performance of computational models that are based on DCT. The authors' survey of the computational models and their in-depth review of the visual factors used in them will help readers understand perceptual image coding based on DCT. The book also provides a comparative analysis of several perceptual image coders that are based on DCT, which are compatible with the highly popular and widely adopted JPEG standard.
650 0 _aEngineering.
650 0 _aComputer science
_xMathematics.
650 0 _aImage processing.
650 1 4 _aEngineering.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aDiscrete Mathematics in Computer Science.
700 1 _aGan, Woon-Seng.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789812875426
830 0 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8112
856 4 0 _uhttp://dx.doi.org/10.1007/978-981-287-543-3
912 _aZDB-2-ENG
942 _cEBK
999 _c58315
_d58315