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Stereoscopic Image Quality Assessment

  • Book
  • © 2020

Overview

Authors:
  1. Yong Ding

    1. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China

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  2. Guangming Sun

    1. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China

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    You can also search for this author in PubMed   Google Scholar

  • Provides a comprehensive summary of visual quality assessment for stereoscopic images
  • Reviews the significant developments in visual quality assessment, from 2D to 3D images, and discusses and analyzes several classical algorithms of stereoscopic image quality assessment (SIQA).
  • Serves as a valuable reference resource for readers interested in stereo vision, especially stereoscopic image quality assessment, and features a large number of vivid figures and formulas to aid understanding

Part of the book series: Advanced Topics in Science and Technology in China (ATSTC, volume 60)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-ix
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  2. Introduction

    • Yong Ding, Guangming Sun
    Pages 1-5

  3. Brief Introduction on 2D Image Quality Assessment

    • Yong Ding, Guangming Sun
    Pages 7-29

  4. Difference Between 2D and Stereoscopic Image Quality Assessment

    • Yong Ding, Guangming Sun
    Pages 31-48

  5. SIQA Based on 2D IQA Weighting Strategy

    • Yong Ding, Guangming Sun
    Pages 49-67

  6. Stereoscopic Image Quality Assessment Based on Binocular Combination

    • Yong Ding, Guangming Sun
    Pages 69-96

  7. Stereoscopic Image Quality Assessment Based on Human Visual System Properties

    • Yong Ding, Guangming Sun
    Pages 97-133

  8. Stereoscopic Image Quality Assessment Based on Deep Convolutional Neural Models

    • Yong Ding, Guangming Sun
    Pages 135-163

  9. Challenging Issues and Future Work

    • Yong Ding, Guangming Sun
    Pages 165-169
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Keywords

About this book

This book provides a comprehensive review of all aspects relating to visual quality assessment for stereoscopic images, including statistical mathematics, stereo vision and deep learning. It covers the fundamentals of stereoscopic image quality assessment (SIQA), the relevant engineering problems and research significance, and also offers an overview of the significant advances in visual quality assessment for stereoscopic images, discussing and analyzing the current state-of-the-art in SIQA algorithms, the latest challenges and research directions as well as novel models and paradigms. In addition, a large number of vivid figures and formulas help readers gain a deeper understanding of the foundation and new applications of objective stereoscopic image quality assessment technologies.




Reviewing the latest advances, challenges and trends in stereoscopic image quality assessment, this book is a valuable resource for researchers, engineers andgraduate students working in related fields, including imaging, displaying and image processing, especially those interested in SIQA research.




Authors and Affiliations

  • College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China

    Yong Ding, Guangming Sun

About the authors

Yong Ding received his B.S. and M.S. degrees from the School of Electronic Science & Applied Physics, Hefei University of Technology, P. R. China, in 1997 and 2000, respectively, and his Ph.D. from the College of Electronic Science & Engineering, Nanjing, P. R. China, in 2008. From 2000 to 2006, he was a Senior Engineer at the R & D Center of Hisense, and from 2006 to 2008 was a Senior Project Leader at the Architecture Design Department at Ominivision. He is currently a Professor at the Institute of VLSI Design at Zhejiang University, and is Vice-Director of the Engineering Research Center of Embedded Systems, Ministry of Education of China. He was a Visiting Scholar at the Laboratory of Mathematical Methods of Image Processing at Moscow Lomonosov State University, Russia, in 2011, and at Illinois Institute of Technology, USA, from 2015 to 2016.


His research interests include objective image quality assessment, digital image/video processing and associated SoC architectures. At present, he is in charge of several projects supported by the Chinese government, including the National High Technology Program (863 programs), and a National Science and Technology Major Project, which focus on image quality assessment and video processing.


Prof. Ding has authored more than 70 papers in journals in these fields, and has given several plenary or invited talks at international conferences. He holds more than 30 Chinese patents. He is an editor of the International Journal of Digital Content Technology and its Applications (JDCTA) and an invited reviewer for several leading international publishers.


Guangming Sun is currently a postgraduate at the College of Information Science and Electronics, Zhejiang University, Hangzhou, P. R. China.






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