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Stereoscopic Image Quality Assessment
Yong Ding
Guangming Sun
出版
Springer Nature
, 2020-10-22
主題
Computers / Artificial Intelligence / Computer Vision & Pattern Recognition
Technology & Engineering / Electronics / General
Computers / Online Services
Computers / Artificial Intelligence / General
Technology & Engineering / Measurement
Computers / Software Development & Engineering / General
Computers / Internet / General
Technology & Engineering / Imaging Systems
Computers / Networking / General
ISBN
9811577641
9789811577642
URL
http://books.google.com.hk/books?id=U68EEAAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
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.