The structural similarity image quality paradigm is based on the assumption that the human visual system is highly adapted for extracting structural information from the scene, and therefore a measure of structural similarity can provide a good appr
multi-scaleSSIM (MS-SSIM) 参考文献：Z. Wang, E.P. Simoncelli, and A.C. Bovik, “Multi-scale structuralsimilarity for image quality assessment,” ACSSC’03, pp. 1398-1402, 2003.
通过深度学习增强的视网膜光学相干断层扫描图像论文，pdf格式Research Article
VoL 9, No 12 1 Dec 2018 BIOMEDICAL OPTICS EXPRESS 6207
Biomedical Optics EXPRESS
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To achieve this we train a generator network as a feed-forward convolutional neural network
(CNN) GeG par
