Visual pattern degradation based image quality assessment

• Main Authors: Wu, Jinjian, Li, Leida, Shi, Guangming, Lin, Weisi, Wan, Wenfei
• Format: Conference or Workshop Item
• Language: English
• Published: 2018
• Subjects: Full-Reference; DRNTU::Engineering::Computer science and engineering; Image Quality Assessment
• Online Access: https://hdl.handle.net/10356/89537; http://hdl.handle.net/10220/47094
• Institution: Nanyang Technological University

In this paper, we introduce a visual pattern degradation based full-reference (FR) image quality assessment (IQA) method. Researches on visual recognition indicate that the human visual system (HVS) is highly adaptive to extract visual structures for scene understanding. Existing structure degradati...