Single image super-resolution quality assessment: a real-world dataset, subjective studies, and an objective metric

• Main Authors: Jiang, Qiuping, Liu, Zhentao, Gu, Ke, Shao, Feng, Zhang, Xinfeng, Liu, Hantao, Lin, Weisi
• 其他作者: School of Computer Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2022
• 主題: Engineering::Computer science and engineering; Single Image Super-Resolution; Image Quality Assessment
• 在線閱讀: https://hdl.handle.net/10356/162755
• 機構: Nanyang Technological University

Numerous single image super-resolution (SISR) algorithms have been proposed during the past years to reconstruct a high-resolution (HR) image from its low-resolution (LR) observation. However, how to fairly compare the performance of different SISR algorithms/results remains a challenging problem. S...