Full-reference image quality assessment by combining features in spatial and frequency domains

• Main Authors: Tang, Zhisen, Zheng, Yuanlin, Gu, Ke, Liao, Kaiyang, Wang, Wei, Yu, Miaomiao
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering; Image Quality Assessment (IQA); Log-Gabor Filter
• Online Access: https://hdl.handle.net/10356/150418
• Institution: Nanyang Technological University

Objective image quality assessment employs mathematical and computational theory to objectively assess the quality of output images based on the human visual system (HVS). In this paper, a novel approach based on multifeature extraction in the spatial and frequency domains is proposed. We combine th...