Image quality assessment based on gradient similarity

• Main Authors: Liu, Anmin, Lin, Weisi, Narwaria, Manish
• Other Authors: School of Computer Engineering
• Format: Article
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
• Online Access: https://hdl.handle.net/10356/99259; http://hdl.handle.net/10220/13525
• Institution: Nanyang Technological University

In this paper, we propose a new image quality assessment (IQA) scheme, with emphasis on gradient similarity. Gradients convey important visual information and are crucial to scene understanding. Using such information, structural and contrast changes can be effectively captured. Therefore, we use th...