Stereoscopic Image Quality Assessment

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.

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

Autorentext

Yong Ding, an Associate Professor of the College of Information Science & Electronic Engineering, Zhejiang University. He had been a Senior Engineer in R & D Center of Hisense from 2000 to 2006 and a Senior Project Leader of Architecture Design Department in Ominivision from 2006 to 2008, respectively. Besides, he has been a Visiting Scholar at Moscow Lomonosov State University, Russia, in 2011, and at Illinois Institute of Technology, USA, from 2015 to 2016.His research interests concentrate on image/video quality assessment, biomedical image processing and intelligent diagnosis. He takes charge of several projects supported by Chinese government including National High Technology Program (863), National Science & Technology Support Program, National Science and Technology Major Project, etc. Up to now, he has authored more than 80 papers at Journals and made several plenary or invited talks on international conferences. He holds more than 40 Chinese patents with 25 patents being authorized. He acts as a invited reviewer of several famous international publishes and a reviewer or TPC member of some international conferences.

Inhalt
Introduction.- Basic of 2D Image Quality Assessment.- The Difference Between 2D IQA and 3D IQA.- Stereoscopic Image Quality Assessment Based on 2D IQA Models.- Stereoscopic Image Quality Assessment Based on Binocular Vision.- Learning Perceptual Quality of Stereopsis from Human Visual Properties.- Stereoscopic Image Quality Assessment Based on Deep Convolutional Neural Models.- Summary and Future Directions.