Stereoscopic Image Quality Assessment (Hardcover, 1st ed. 2020)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Advanced Topics in Science and Technology in China, 60
Release date:	October 2020
First published:	2020
Authors:	Yong Ding • Guangming Sun
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	169
Edition:	1st ed. 2020
ISBN-13:	978-981-15-7763-5
Categories:	Books > Science & Mathematics > Science: general issues > Scientific standards Books > Computing & IT > Computer communications & networking > General Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	981-15-7763-3
Barcode:	9789811577635

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