Optimizing multistage discriminative dictionaries for blind image quality assessment

• Main Authors: Jiang, Qiuping, Shao, Feng, Lin, Weisi, Gu, Ke, Jiang, Gangyi, Sun, Huifang
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Blind Image Quality Assessment; Label Consistent K-SVD
• Online Access: https://hdl.handle.net/10356/140030
• Institution: Nanyang Technological University

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...