Learning sparse representation for objective image retargeting quality assessment

• Main Authors: Jiang, Qiuping, Shao, Feng, Lin, Weisi, Jiang, Gangyi
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Global Context Information (GCI); Image Retargeting Quality Assessment (IRQA)
• Online Access: https://hdl.handle.net/10356/140107
• Institution: Nanyang Technological University

The goal of image retargeting is to adapt source images to target displays with different sizes and aspect ratios. Different retargeting operators create different retargeted images, and a key problem is to evaluate the performance of each retargeting operator. Subjective evaluation is most reliable...