LEADER 05161nam 22006614a 450 001 9910143580603321 005 20170809164610.0 010 $a1-118-69126-1 010 $a0-470-02406-2 010 $a1-280-26882-4 010 $a9786610268825 010 $a0-470-02405-4 035 $a(CKB)1000000000357194 035 $a(EBL)232693 035 $a(OCoLC)77722402 035 $a(SSID)ssj0000139243 035 $a(PQKBManifestationID)11136599 035 $a(PQKBTitleCode)TC0000139243 035 $a(PQKBWorkID)10017290 035 $a(PQKB)10591758 035 $a(MiAaPQ)EBC232693 035 $a(EXLCZ)991000000000357194 100 $a20041019d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDigital video quality$b[electronic resource] $evision models and metrics /$fStefan Winkler 210 $aChichester, West Sussex ;$aHoboken, NJ $cJ. Wiley & Sons$dc2005 215 $a1 online resource (191 p.) 300 $aDescription based upon print version of record. 311 $a0-470-02404-6 320 $aIncludes bibliographical references (p. [157]-170) and index. 327 $aDigital Video Quality; Contents; About the Author; Acknowledgements; Acronyms; 1 Introduction; 1.1 Motivation; 1.2 Outline; 2 Vision; 2.1 Eye; 2.1.1 Physical Principles; 2.1.2 Optics of the Eye; 2.1.3 Optical Quality; 2.1.4 Eye Movements; 2.2 Retina; 2.2.1 Photoreceptors; 2.2.2 Retinal Neurons; 2.3 Visual Pathways; 2.3.1 Lateral Geniculate Nucleus; 2.3.2 Visual Cortex; 2.4 Sensitivity to Light; 2.4.1 Light Adaptation; 2.4.2 Contrast Sensitivity; 2.5 Color Perception; 2.5.1 Color Matching; 2.5.2 Opponent Colors; 2.6 Masking and Adaptation; 2.6.1 Spatial Masking; 2.6.2 Temporal Masking 327 $a2.6.3 Pattern Adaptation2.7 Multi-channel Organization; 2.7.1 Spatial Mechanisms; 2.7.2 Temporal Mechanisms; 2.8 Summary; 3 Video Quality; 3.1 Video Coding and Compression; 3.1.1 Color Coding; 3.1.2 Interlacing; 3.1.3 Compression Methods; 3.1.4 Standards; 3.2 Artifacts; 3.2.1 Compression Artifacts; 3.2.2 Transmission Errors; 3.2.3 Other Impairments; 3.3 Visual Quality; 3.3.1 Viewing Distance; 3.3.2 Subjective Quality Factors; 3.3.3 Testing Procedures; 3.4 Quality Metrics; 3.4.1 Pixel-based Metrics; 3.4.2 Single-channel Models; 3.4.3 Multi-channel Models; 3.4.4 Specialized Metrics 327 $a3.5 Metric Evaluation3.5.1 Performance Attributes; 3.5.2 Metric Comparisons; 3.5.3 Video Quality Experts Group; 3.5.4 Limits of Prediction Performance; 3.6 Summary; 4 Models and Metrics; 4.1 Isotropic Contrast; 4.1.1 Contrast Definitions; 4.1.2 In-phase and Quadrature Mechanisms; 4.1.3 Isotropic Local Contrast; 4.1.4 Filter Design; 4.2 Perceptual Distortion Metric; 4.2.1 Metric Design; 4.2.2 Color Space Conversion; 4.2.3 Perceptual Decomposition; 4.2.4 Contrast Gain Control; 4.2.5 Detection and Pooling; 4.2.6 Parameter Fitting; 4.2.7 Demonstration; 4.3 Summary; 5 Metric Evaluation 327 $a5.1 Still Images5.1.1 Test Images; 5.1.2 Subjective Experiments; 5.1.3 Prediction Performance; 5.2 Video; 5.2.1 Test Sequences; 5.2.2 Subjective Experiments; 5.2.3 Prediction Performance; 5.2.4 Discussion; 5.3 Component Analysis; 5.3.1 Dissecting the PDM; 5.3.2 Color Space; 5.3.3 Decomposition Filters; 5.3.4 Pooling Algorithm; 5.4 Summary; 6 Metric Extensions; 6.1 Blocking Artifacts; 6.1.1 Perceptual Blocking Distortion Metric; 6.1.2 Test Sequences; 6.1.3 Subjective Experiments; 6.1.4 Prediction Performance; 6.2 Object Segmentation; 6.2.1 Test Sequences; 6.2.2 Prediction Performance 327 $a6.3 Image Appeal6.3.1 Background; 6.3.2 Quantifying Image Appeal; 6.3.3 Results with VQEG Data; 6.3.4 Test Sequences; 6.3.5 Subjective Experiments; 6.3.6 PDM Prediction Performance; 6.3.7 Performance with Image Appeal Attributes; 6.4 Summary; 7 Closing Remarks; 7.1 Summary; 7.2 Perspectives; Appendix: Color Space Conversions; References; Index 330 $aVisual quality assessment is an interdisciplinary topic that links image/video processing, psychology and physiology. Many engineers are familiar with the image/video processing; transmission networks side of things but not with the perceptual aspects pertaining to quality. Digital Video Quality first introduces the concepts of human vision and visual quality. Based on these, specific video quality metrics are developed and their design is presented. These metrics are then evaluated and used in a number of applications, including image/video compression, transmission and watermarking.