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MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage Fusion. (arXiv:2205.10101v1 [cs.CV])
May 23, 2022, 1:12 a.m. | Jing Wang, Haotian Fa, Xiaoxia Hou, Yitian Xu, Tao Li, Xuechao Lu, Lean Fu
cs.CV updates on arXiv.org arxiv.org
Measuring the perceptual quality of images automatically is an essential task
in the area of computer vision, as degradations on image quality can exist in
many processes from image acquisition, transmission to enhancing. Many Image
Quality Assessment(IQA) algorithms have been designed to tackle this problem.
However, it still remains un settled due to the various types of image
distortions and the lack of large-scale human-rated datasets. In this paper, we
propose a novel algorithm based on the Swin Transformer [31] …
arxiv cv fusion image quality reference stage swin transformer
More from arxiv.org / cs.CV updates on arXiv.org
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