Reduced-reference quality assessment of image super-resolution by energy change and texture variation

• المؤلفون الرئيسيون: Fang, Yuming, Liu, Jiaying, Zhang, Yabin, Lin, Weisi, Guo, Zongming
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Computer science and engineering; Image Quality Assessment; Image Super-resolution
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/147379

In this paper, we propose a novel reduced-reference quality assessment metric for image super-resolution (RRIQA-SR) based on the low-resolution (LR) image information. With the pixel correspondence, we predict the perceptual similarity between image patches of LR and SR images by two components: the...