Optimizing multistage discriminative dictionaries for blind image quality assessment

• المؤلفون الرئيسيون: Jiang, Qiuping, Shao, Feng, Lin, Weisi, Gu, Ke, Jiang, Gangyi, Sun, Huifang
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Computer science and engineering; Blind Image Quality Assessment; Label Consistent K-SVD
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/140030

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...