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Digital Video Quality
Vision Models and Metrics

Stefan Winkler (Author)

9780470024041, Wiley

Hardback, published 21 January 2005

189 pages
23.3 x 16 x 1.7 cm, 0.454 kg

?We can also truly recommend Digital Video Quality for engineers
designing or implementing video compression/transmission systems, as well as researchers and students in the fields of
image processing and communications.?
http://www.comsoc.org/pubs/index.html
(October 2007)

"...a comprehensive answer to questions that might raise while investigating and developing the video systems...truly recommend Digital Video Quality for engineers..." (IEEE Communications Magazine, October 2007)

Visual 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.

  • Introduces the concepts of human vision and vision quality.
  • Presents the design and development of specific video quality metrics.
  • Evaluates video quality metrics in the context of image/video compression, transmission and watermarking.
  • Presents tools developed for the analysis of video quality

About the Author.

Acknowledgements.

Acronyms.

1 Introduction.

1.1 Motivation.

1.2 Outline.

2 Vision.

2.1 Eye.

2.2 Retina.

2.3 Visual Pathways.

2.4 Sensitivity to Light.

2.5 Color Perception.

2.6 Masking and Adaptation.

2.7 Multi-channel Organization.

2.8 Summary.

3 Video Quality.

3.1 Video Coding and Compression.

3.2 Artifacts.

3.3 Visual Quality.

3.4 Quality Metrics.

3.5 Metric Evaluation.

3.6 Summary.

4 Models and Metrics.

4.1 Isotropic Contrast.

4.2 Perceptual Distortion Metric.

4.3 Summary.

5 Metric Evaluation.

5.1 Still Images.

5.2 Video.

5.3 Component Analysis.

5.4 Summary.

6 Metric Extensions.

6.1 Blocking Artifacts.

6.2 Object Segmentation.

6.3 Image Appeal.

6.4 Summary.

7 Closing Remarks.

7.1 Summary.

7.2 Perspectives.

Appendix: Color Space Conversions.

References.

Index.

Subject Areas: Electronics & communications engineering [TJ]
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