视频编码与主观质量评估：数字视频图像质量解析

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"Digital Video Image Quality and Perceptual Coding.pdf" 本书是关于数字视频图像质量和感知编码的专业著作，适合对视频编码感兴趣的学者和学生参考学习。它深入探讨了如何在信号处理和通信领域中优化视频质量，并考虑人类视觉系统的感知特性进行高效编码。以下是书中的关键知识点： 1. **图像质量评估**：书中详细介绍了评估数字视频质量的各种方法，包括主观评价（如双盲测试、SSIM、VQM等）和客观评价（如PSNR、MS-SSIM、VIF等）。这些指标帮助我们量化视频编码后的失真程度。 2. **感知编码**：基于人类视觉系统的特性，感知编码旨在减少对人眼不敏感的图像信息，从而在保持视觉质量的同时降低数据传输量。书中有专门章节讨论了如何利用这些特性来设计高效的编码算法。 3. **视频压缩技术**：涵盖了国际标准如MPEG系列（MPEG-1、MPEG-2、MPEG-4）和H.26x系列（H.261、H.264/AVC、H.265/HEVC），以及新兴的VVC（Versatile Video Coding）标准。这些标准都涉及了如何通过熵编码、运动估计和补偿、帧内预测等技术来实现高效率的视频压缩。 4. **网络传输**：考虑到视频在网络中的传输，书里讨论了网络带宽限制下的适应性编码策略，如自适应比特率控制和错误恢复技术，以确保视频在不同网络条件下的流畅播放。 5. **多媒体系统**：介绍了如何将视频编码集成到多媒体系统中，涉及到处理器架构、存储需求、实时处理挑战等方面，以及如何在多标准环境中实现互操作性。 6. **实时与嵌入式应用**：对于实时和嵌入式环境中的视频编码，书中可能会涵盖低延迟编码、硬件加速方案以及在资源受限设备上的优化技术。 7. **信号处理**：深入讲解了滤波、降噪、信源信道联合编码等信号处理技术在视频编码中的应用，这些都是提升图像质量和降低编码复杂度的关键。 8. **intersymbol interference (ISI) 抑制**：在高速通信中，ISI是一个常见问题，书中的"Modulated Coding for Intersymbol Interference Channels"章节可能探讨了如何通过调制编码技术来减少这种干扰，提高视频传输质量。 9. **语音处理**：虽然主要集中在视频上，但书中的"Digital Speech Processing"章节可能也涉及了与音频相关的编码技术，这些技术在多媒体应用中同样重要。《Digital Video Image Quality and Perceptual Coding》是一本综合性的指南，涵盖了从图像质量评估到实际编码策略，再到系统集成和网络传输的多个方面，是理解和提升视频编码技术的宝贵资源。

Preface xvii

hancement as well as degradation in visual communications services and applications in

absence of original pictures. A framework for the development of no-reference quality

metric is described. An extensive description is provided on the no-reference overall

quality metric (NROQM) which the authors have developed for digital video quality

assessment.

activities highlighting its goals, test plans, major ﬁndings, and future work and direc-

tions.

coder designs based on the HVS, and post-ﬁltering, restoration, error correction and con-

cealment techniques which paly an increasing role in improvement of perceptual picture

quality by reduction of perceived coding artifacts and transmission errors. A number

foveated perceptual coding. A noticeable feature of these new perceptual coders is that

they use much more sophisticated vision models resulting in signiﬁcant visual perfor-

mance improvement. Discussions are included in these chapters on possible new coding

architectures based on vision model as compared with existing statistically based cod-

ing algorithms and architectures predominant in current software and hardware products

and systems.

Chapter 12 by Pica, Isnardi and Lubin examines critical issues associated with “HVS

Based Perceptual Video Encoders.” It covers an overview of perceptual based approaches,

possible architectures and applications, and future directions. Architectures which sup-

port perceptual based video encoding are discussed for an MPEG-2 compliant encoder.

Tan and Wu present “Perceptual Image Coding” in Chapter 13, which provides a

comprehensive review of HVS based image coding techniques to date. The review cov-

ers traditional techniques where various HVS aspects or simple vision models are used

for coder designs. Until most recently, this traditional approach has dominated research

on the topic with numerous publications, which forms one of, at least, four approaches

to perceptual coding design. The chapter describes a perceptual distortion metric based

image coder and a vision model based perceptual lossless coder along with detailed

discussions on model calibration and coder performance evaluation results.

Chapter 14 by Wang and Bovik investigates novel “Foveated Image and Video Cod-

ing” techniques, which they introduced most recently. It provides an introduction to the

foveation feature of the HVS, a review of various foveation techniques that have been

used to construct image and video coding systems, and detailed descriptions of example

foveated picture coding systems.

Processing in Image Compression.” Various image restoration and processing tech-

In Chapter 11, Corriveau presents an overview of “Video Quality Experts Group”

of new perceptual coders introduced in recent years are presented in Chapters 12, 13

and 14, including rate-distortion optimization using perceptual distortion metrics and

Chapter 15 by Chen and Wu discusses the topic of “Artifact Reduction by Post-

The next six chapters form Part III of this book, focusing on digital image and video

xviii Digital Video Image Quality and Perceptual Coding

niques have been reported in recent years to eliminate or to reduce picture coding arti-

facts introduced in the encoding or transmission process to improve perceptual image

or video picture quality. It becomes widely accepted that these post-ﬁltering algorithms

are an integral part of a compression package or system from a rate-distortion optimiza-

tion standpoint. This chapter focuses on reduction of blocking and ringing artifacts in

order to improve the visual quality of reconstructed pictures. A DCT domain deblock-

ing technique is described with a fast implementation algorithm after a review of coding

artifacts reduction techniques to date.

Color bleeding is a prominent distortion associated with color images encoded by

a novel approach to “Reduction of Color Bleeding in DCT Block-Coded Video,” which

they introduced recently. This post-processing technique is devised after a thorough

analysis of the cause of color bleeding. The performance evaluation results have demon-

strated marked improvement in perceptual quality of reconstructed pictures.

Issues associated with “Error Resilience for Video Coding Service” are investigated

and concealment methods. Signiﬁcant improvement in terms of visual picture quality

has been demonstrated by using a number of techniques presented.

challenges of the ﬁeld which may be beneﬁcial to the readers for future research.

Performance measures used to evaluate objective quality/impairment metrics against

We hope that readers will enjoy reading this book as much as we have enjoyed

writing it and ﬁnd materials provided in it useful and relevant to their work and studies

in the ﬁeld.

H. R. Wu K. R. Rao

Royal Melbourne Institute of Technology, University of Texas at Arlington,

Australia U.S.A.

block DCT based picture coding systems. Coudoux and Gazalet present in Chapter 16

by Zhang in Chapter 17. It provides an introduction to error resilient coding techniques

Chapter 18, the ﬁnal chapter of the book, highlights a number of critical issues and

subjective test data are discussed in Appendix A.

Preface xix

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