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

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

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...

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Bibliographic Details
Main Authors: Jiang, Qiuping, Liu, Zhentao, Gu, Ke, Shao, Feng, Zhang, Xinfeng, Liu, Hantao, Lin, Weisi
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering
Single Image Super-Resolution
Image Quality Assessment
Online Access:https://hdl.handle.net/10356/162755

Internet

https://hdl.handle.net/10356/162755

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