Overview
- 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)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
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.
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.
Similar content being viewed by others
Keywords
Table of contents (8 chapters)
-
Front Matter
Authors and Affiliations
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.
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.
Bibliographic Information
Book Title: Stereoscopic Image Quality Assessment
Authors: Yong Ding, Guangming Sun
Series Title: Advanced Topics in Science and Technology in China
DOI: https://doi.org/10.1007/978-981-15-7764-2
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Zhejiang University Press 2020
Hardcover ISBN: 978-981-15-7763-5Published: 23 October 2020
Softcover ISBN: 978-981-15-7766-6Published: 24 October 2021
eBook ISBN: 978-981-15-7764-2Published: 22 October 2020
Series ISSN: 1995-6819
Series E-ISSN: 1995-6827
Edition Number: 1
Number of Pages: IX, 169
Number of Illustrations: 37 b/w illustrations, 18 illustrations in colour
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Signal, Image and Speech Processing, Information Systems and Communication Service, Artificial Intelligence, Electronics and Microelectronics, Instrumentation, Measurement Science and Instrumentation