Stereoscopic image quality assessment /

Stereoscopic image quality assessment /

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Bibliographic Details
Author / Creator:	Ding, Yong, 1974- author.
Imprint:	[Hangzhou, China] : Zhejiang University Press ; Singapore : Springer, [2020]
Description:	1 online resource (ix, 169 pages) : illustrations.
Language:	English
Series:	Advanced topics in science and technology in China ; volume 60 Advanced topics in science and technology in China ; vol. 60.
Subject:	Image processing. Multidimensional spectroscopy. Optical data processing. Computer vision. Multidimensional spectroscopy. Computer vision. Image processing. Optical data processing. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12608087

Hidden Bibliographic Details
Other authors / contributors:	Sun, Guangming, author.
ISBN:	9789811577642 9811577641 9789811577635 9811577633
Digital file characteristics:	text file PDF
Notes:	Includes bibliographical references.
Summary:	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 and graduate students working in related fields, including imaging, displaying and image processing, especially those interested in SIQA research.
Other form:	Original 9811577633 9789811577635
Standard no.:	10.1007/978-981-15-7764-2

Table of Contents:

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.