Evaluating quality of screen content images via structural variation analysis

• Main Authors: Gu, Ke, Qiao, Junfei, Min, Xiongkuo, Yue, Guanghui, Lin, Weisi, Thalmann, Daniel
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Computer-generated Signals; Screen Content Images
• Online Access: https://hdl.handle.net/10356/139731
• Institution: Nanyang Technological University

With the quick development and popularity of computers, computer-generated signals have drastically invaded into our daily lives. Screen content image is a typical example, since it also includes graphic and textual images as components as compared with natural scene images which have been deeply ex...