edited by H.R. Wu
Digital Video Image Quality and Perceptual Coding outlines the principles, metrics, and standards associated with perceptual coding, as well as the latest techniques and applications.
Features:
- Provides the fundamentals, basic issues, and concepts along with various coding/compression algorithms and techniques
- Reviews the latest developments in vision research as they relate to HVS-based video and image coding
- Discusses subjective and objective assessment methods, quantitative quality metrics, test criteria, and procedures
- Examines post-filtering and restoration issues associated with color bleeding, blocking, ringing, and temporal fluctuation artifacts in detail along with methods to reduce them
- Considers current issues and challenges for future research
Contents
- Video Image Compression and Coding Structures
- Analysis and Classifications of Video Coding Artifacts
- Metrics for Image Quality Metrics Performance Assessment
- Human Visual System Modeling and Vision Models
- Subjective Assessment Methods for Digital Video Images
- Objective Assessment Methods for Digital Video Images
- Testing of Digital Image and Video Sequences
- HVS Based Image and Video Coder Designs
- Perceptual Image and Video Coder Design
- Picture Quality Enhancement with Post-filtering
- Critical Issues and Challenges
Index
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