A prediction backed model for quality assessment of screen content and 3-D synthesized images

• Main Authors: Jakhetiya, Vinit, Gu, Ke, Lin, Weisi, Li, Qiaohong, Jaiswal, Sunil Prasad
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Distortion Categorization; Human Vision
• Online Access: https://hdl.handle.net/10356/140048
• Institution: Nanyang Technological University

In this paper, we address problems associated with free-energy-principle-based image quality assessment (IQA) algorithms for objectively assessing the quality of Screen Content (SC) and three-dimensional (3-D) synthesized images and also propose a very fast and efficient IQA algorithm to address the...