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010   $a981-287-543-3
024 7 $a10.1007/978-981-287-543-3
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035   $a(EBL)2095435
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035   $a(DE-He213)978-981-287-543-3
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035   $a(PPN)186027494
035   $a(EXLCZ)993710000000414445
100   $a20150513d2015      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aPerceptual Image Coding with Discrete Cosine Transform /$fby Ee-Leng Tan, Woon-Seng Gan
205   $a1st ed. 2015.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2015.
215   $a1 online resource (74 p.)
225 1 $aSpringerBriefs in Signal Processing,$x2196-4076
300   $aDescription based upon print version of record.
311   $a981-287-542-5 
327   $aIntroduction -- Computational Models for Just-Noticeable-Differences -- Perceptual Image Coding with Discrete Cosine Transform -- Validation of Computational Model for JND -- Concluding Remarks.
330   $aThis book first introduces classic as well as recent computational models for just-noticeable-difference (JND) applications. Since the discrete cosine transform (DCT) is applied in many image and video standards (JPEG, MPEG-1/2/4, H.261/3), the book also includes a comprehensive survey of computational models for JND that are based on DCT. The visual factors used in these computational models are reviewed in detail. Further, an extensive comparative analysis of these models using quantitative and qualitative performance criteria is presented, which compares the noise shaping performance of these models with subjective evaluation and the accuracy between the estimated JND thresholds and subjective evaluation. There are many surveys available on computational models for JND; however, these surveys seldom compare the performance of computational models that are based on DCT. The authors? survey of the computational models and their in-depth review of the visual factors used in them will help readers understand perceptual image coding based on DCT. The book also provides a comparative analysis of several perceptual image coders that are based on DCT, which are compatible with the highly popular and widely adopted JPEG standard.
410  0$aSpringerBriefs in Signal Processing,$x2196-4076
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aOptical data processing
606   $aComputer science?Mathematics
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021
606   $aDiscrete Mathematics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17028
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aOptical data processing.
615  0$aComputer science?Mathematics.
615 14$aSignal, Image and Speech Processing.
615 24$aImage Processing and Computer Vision.
615 24$aDiscrete Mathematics in Computer Science.
676   $a004.0151
676   $a006.37
676   $a006.6
676   $a620
676   $a621.382
700   $aTan$b Ee-Leng$4aut$4http://id.loc.gov/vocabulary/relators/aut$0720631
702   $aGan$b Woon-Seng$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910299830203321
996   $aPerceptual Image Coding with Discrete Cosine Transform$92515635
997   $aUNINA