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Quality Assessment of Visual Content / by Ke Gu, Hongyan Liu, Chengxu Zhou
(Advances in Computer Vision and Pattern Recognition. ISSN:21916594)

データ種別	電子ブック
版	1st ed. 2022.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2022
大きさ	XVII, 242 p. 75 illus., 66 illus. in color : online resource
著者標目	*Gu, Ke author Liu, Hongyan author Zhou, Chengxu author SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0002665	Computer Scinece R0 2005-6,2022-3				9789811933479

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一般注記	Chapter 1. Introduction -- Chapter 2. Quality Assessment of Screen Content Images -- Chapter 3. Quality Assessment of 3D-Synthesized Images -- Chapter 4. Quality Assessment of Sonar Images -- Chapter 5. Quality Assessment of Enhanced Images -- Chapter 6. Quality Assessment of Light-Field Image -- Chapter 7. Quality Assessment of Virtual Reality Images -- Chapter 8. Quality Assessment of Super-Resolution Images This book provides readers with a comprehensive review of image quality assessment technology, particularly applications on screen content images, 3D-synthesized images, sonar images, enhanced images, light-field images, VR images, and super-resolution images. It covers topics containing structural variation analysis, sparse reference information, multiscale natural scene statistical analysis, task and visual perception, contour degradation measurement, spatial angular measurement, local and global assessment metrics, and more. All of the image quality assessment algorithms of this book have a high efficiency with better performance compared to other image quality assessment algorithms, and the performance of these approaches mentioned above can be demonstrated by the results of experiments on real-world images. On the basis of this, those interested in relevant fields can use the results obtained through these quality assessment algorithms for further image processing. The goal of this book is to facilitate the use of these image quality assessment algorithms by engineers and scientists from various disciplines, such as optics, electronics, math, photography techniques and computation techniques. The book can serve as a reference for graduate students who are interested in image quality assessment techniques, for front-line researchers practicing these methods, and for domain experts working in this area or conducting related application development HTTP:URL=https://doi.org/10.1007/978-981-19-3347-9
件　名	LCSH:Image processing LCSH:Image processing -- Digital techniques 全ての件名で検索 LCSH:Computer vision FREE:Image Processing FREE:Computer Imaging, Vision, Pattern Recognition and Graphics FREE:Computer Vision
分　類	LCC:TA1637-1638 DC23:621.382
書誌ID	EB00002053
ISBN	9789811933479