Optimizing multistage discriminative dictionaries for blind image quality assessment

Optimizing multistage discriminative dictionaries for blind image quality assessment

State-of-the-art algorithms for blind image quality assessment (BIQA) typically have two categories. The first category approaches extract natural scene statistics (NSS) as features based on the statistical regularity of natural images. The second category approaches extract features by feature enco...

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書目詳細資料
Main Authors:	Jiang, Qiuping, Shao, Feng, Lin, Weisi, Gu, Ke, Jiang, Gangyi, Sun, Huifang
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2020
主題:	Engineering::Computer science and engineering Blind Image Quality Assessment Label Consistent K-SVD
在線閱讀:	https://hdl.handle.net/10356/140030
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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