use matlab

图像处理
........\Inoised.m
........\background.jpg
........\background1.jpg
........\background2.jpg
........\background3.jpg
........\background4.jpg
........\background5.jpg
........\background6.jpg
........\blind_deconvolution_r.asv
........\contrast_s.m
........\d_fourier.m
........\division.m
........\edge_detection.m
........\equ_his_p.m
........\filter_mid.asv
........\filter_mid.m
........\filter_slide.m
........\filter_smooth.m
........\fourier.m
........\fourior_shift.m
........\gaussian_lp_r.m
........\histogram_p.m
........\histogram_s.m
........\homo_filter.m
........\hp1_filter.m
........\liner_p.m
........\lp1_filter.asv
........\lp1_filter.m
........\main.asv
........\main.m
........\median_filter.m
........\midfilter.m
........\multip.m
........\noiseunnoise1.m
........\nonliner_p.m
........\plus.asv
........\plus.m
........\sharpen_filter.m
........\smooth_filter.m
........\sub.m
........\testopen.m
........\wavelet_compression.m
........\wavelet_detection.m
........\wavelet_dnoise.asv
........\wavelet_dnoise.m
........\wavelet_strength.m
........\wiener_filter_r.asv
........\wiener_filter_r.m
........\wwx.jpg
........\wwx.png
........\wwx1.jpg
........\wwx1.png
........\wwx2.png
........\xuanzhuan.m
........\yuanzhu.m

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