文件名称:SVD_Gradient
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梯度奇异值分解的图像质量评价模型，可有效评价各类图像的质量，效果明显优于传统评价方法-the thesis extracts the structure characteristics of the image by using gradient singular value decomposition, and builds an uation model based on local singular value decomposition
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下载文件列表
基于梯度奇异值分解的结构相似度评价
..................................\fecal.m
..................................\fitting.m
..................................\nihe_live.m
..................................\operator_compare.m
..................................\pblock.m
..................................\sobel_1.m
..................................\SSWSVD.m
..................................\SSWSVD.mat
..................................\SVD_weighting.m
..................................\test_live.m