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MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage Fusion
[article]
2022
arXiv
pre-print
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
arXiv:2205.10101v2
fatcat:teidsj53zjcttmoc43hfqymfzq