Stereoscopic image quality assessment /
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| Author / Creator: | Ding, Yong, 1974- author. |
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| 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: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12608087 |
| 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. <br> <br> 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. <br> <br> |
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| Physical Description: | 1 online resource (ix, 169 pages) : illustrations. |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9789811577642 9811577641 9789811577635 9811577633 |