Multiple-level feature-based measure for retargeted image quality

• Main Authors: Zhang, Yabin, Lin, Weisi, Li, Qiaohong, Cheng, Wentao, Zhang, Xinfeng
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Retargeted Image Quality; Edge Group Similarity
• Online Access: https://hdl.handle.net/10356/142323
• Institution: Nanyang Technological University

Objective image retargeting quality assessment aims to use computational models to predict the retargeted image quality consistent with subjective perception. In this paper, we propose a multiple-level feature (MLF)-based quality measure to predict the perceptual quality of retargeted images. We fir...