Blind image quality assessment based on joint log-contrast statistics

• Main Authors: Li, Qiaohong, Lin, Weisi, Gu, Ke, Zhang, Yabin, Fang, Yuming
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering; Blind Image Quality Assessment; No-reference
• Online Access: https://hdl.handle.net/10356/151329
• Institution: Nanyang Technological University

During recent years, quality-aware features extracted from natural scene statistics (NSS) models have been used in development of blind image quality assessment (BIQA) algorithms. Generally, the univariate distributions of bandpass coefficients are used to fit a parametric probabilistic model and th...