The algorithm is based on split Bregman adaptive total variation image denoising algorithm, where you can see the obvious image denoising effect, and should also pay attention to the obvious drawback of total variation denoising.

FastATV version 1.01\barbara256.bmp
FastATV version 1.01\camera256.bmp
FastATV version 1.01\capitol.bmp
FastATV version 1.01\ComputeParameter.m
FastATV version 1.01\dancers.bmp
FastATV version 1.01\DemoFastATV.m
FastATV version 1.01\denoisedimage10.tif
FastATV version 1.01\denoisedimage20.tif
FastATV version 1.01\denoisedimage5.tif
FastATV version 1.01\Diff_T_X.m
FastATV version 1.01\Diff_T_Y.m
FastATV version 1.01\Diff_X_Y.m
FastATV version 1.01\FastATV.m
FastATV version 1.01\fountain.bmp
FastATV version 1.01\imageload.m
FastATV version 1.01\lena256.bmp
FastATV version 1.01\noiseimage10.tif
FastATV version 1.01\noiseimage20.tif
FastATV version 1.01\noiseimage5.tif
FastATV version 1.01\Satalite.tif
FastATV version 1.01\testpat1.png
FastATV version 1.01
2011 自适应全变分图像去噪模型及其快速求解.PDF

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