图像小波变换去噪matlab代码-IAFNNESTA:NESTA的Python实现，具有各向同性和各向异性过滤规范
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2021-05-26
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IAFNNESTA-master.zip （55个子文件） 
IAFNNESTA-master 
filtering_norm_demo.png 144KB
waveletDec.py 3KB fil2mat.py 4KB radial.py 1KB IAFNNesterov_UP.py 7KB IAFNNESTA_UP.py 6KB demo_mri_filtering_norms.png 151KB demo_tomo_l1_tv.png 71KB demo_tomo_filtering_norms.png 107KB data 
tomo.jpg 33KB head64.png 3KB head256.png 32KB head128.png 9KB head512.png 102KB lena.jpg 37KB __pycache__ filters_from_paper.cpython-37.pyc 1KB waveletDec.cpython-37.pyc 3KB IAFNNESTA.cpython-37.pyc 5KB IAFNNESTA_UP.cpython-37.pyc 8KB fil2mat.cpython-37.pyc 4KB IAFNNesterov_UP.cpython-37.pyc 9KB winFilters.cpython-37.pyc 1KB radial.cpython-37.pyc 1KB IAFNNesterov.cpython-37.pyc 7KB k_space.cpython-37.pyc 1KB demo_denoise.py 2KB LICENSE 1KB denoise_demo.png 184KB demo_inpainting.py 2KB winFilters.py 1KB filters_from_paper.py 1KB demo_wavelet.png 75KB k_space.py 1KB IAFNNesterov.py 8KB demo_tomography.py 3KB demo_mri_reconstruction.py 2KB demo_wavelet.py 2KB sparseMatrixFilters 
shape:(160, 160)_filters:['f:[[ 1 -1]\n [ 1 -1]]', 'f:[[ 1 1]\n [-1 -1]]', 'f:[[ 1 -1]\n [-1 1]]'].zip 1.43MB shape:(256, 256)_filters:['f:[[ 1 -1]]', 'f:[[ 1]\n [-1]]'].zip 1.74MB shape:(160, 160)_filters:['f:[[ 1 -2 1]]', 'f:[[ 1]\n [-2]\n [ 1]]'].zip 815KB shape:(160, 160)_filters:['f:[[ 1 -1]\n [ 1 -1]]', 'f:[[ 1 1]\n [-1 -1]]', 'f:[[ 1 -1]\n [-1 1]]', 'f:[[ 1 -2 1]]', 'f:[[ 1]\n [-2]\n [ 1]]'].zip 2.12MB shape:(128, 128)_filters:['f:[[ 1 -1]\n [ 1 -1]]', 'f:[[ 1 1]\n [-1 -1]]', 'f:[[ 1 -1]\n [-1 1]]'].zip 918KB shape:(128, 128)_filters:['f:[[ 1 -1]]', 'f:[[ 1]\n [-1]]'].zip 442KB shape:(128, 128)_filters:['f:[[ 1 -2 1]]', 'f:[[ 1]\n [-2]\n [ 1]]'].zip 522KB shape:(5, 5, 5)_filters:['f:[[[ 2 3 5]\n [ 7 11 13]]\n\n [[17 19 23]\n [29 31 37]]]'].zip 5KB shape:(128, 128)_filters:['f:[[ 1 -1]\n [ 1 -1]]', 'f:[[ 1 1]\n [-1 -1]]', 'f:[[ 1 -1]\n [-1 1]]', 'f:[[ 1 -2 1]]', 'f:[[ 1]\n [-2]\n [ 1]]'].zip 1.32MB shape:(5, 5)_filters:['f:[[ 1 -2 1]\n [ 1 -2 1]\n [ 1 -2 1]]'].zip 937B shape:(256, 256)_filters:['f:[[ 1 -1]]', 'f:[[ 1]\n [-1]]', 'f:[[ 1 -2 1]]', 'f:[[ 1]\n [-2]\n [ 1]]'].zip 3.34MB shape:(160, 160)_filters:['f:[[ 1 -1]]', 'f:[[ 1]\n [-1]]'].zip 696KB denoise.png 144KB README.md 3KB l1_demo.png 106KB demo_mri_l1_tv.png 75KB IAFNNESTA.py 5KB tv_demo.png 106KB资源评论
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