Stereoscopic Image Quality Assessment by Yong Ding PAPERBACK 9789811577666
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Stereoscopic Image Quality Assessment\nby Yong Ding\nPaperback\nEnglish\n\nBrand new copy from BookCurl \u2013 the UK independent online bookseller.\n\n------------------------------\nBook details\n------------------------------\nAuthor: Yong Ding\nTitle: Stereoscopic Image Quality Assessment\nFormat: Paperback\nLanguage: English\nTopic: Electronics engineering\nPublisher: Springer Verlag, Singapore\nPublication year: 2021\nEdition: 1st ed. 2020\nISBN-13: 9789811577666\nISBN-10: 9811577668\nRRP: \u00A389.99\n\n------------------------------\nDescription\n------------------------------\nThis 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 assess.
Stereoscopic Image Quality Assessment by Yong Ding PAPERBACK 9789811577666
Stereoscopic Image Quality Assessment\nby Yong Ding\nPaperback\nEnglish\n\nBrand new copy from BookCurl \u2013 the UK independent online bookseller.\n\n------------------------------\nBook details\n------------------------------\nAuthor: Yong Ding\nTitle: Stereoscopic Image Quality Assessment\nFormat: Paperback\nLanguage: English\nTopic: Electronics engineering\nPublisher: Springer Verlag, Singapore\nPublication year: 2021\nEdition: 1st ed. 2020\nISBN-13: 9789811577666\nISBN-10: 9811577668\nRRP: \u00A389.99\n\n------------------------------\nDescription\n------------------------------\nThis 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 assess.
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