Description: Curvelet transform for image denoising can solve problems well along the curve edge features, the algorithm uses the hard and soft compromise threshold for image denoising, which contains the side view image and peak signal to noise ratio
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9.jpg
9-1.jpg
10（1）.jpg
10.jpg
11（1）.jpg
11.jpg
12.jpg
BARB.bmp
Copy_of_PSNR.m
cuve zhezhongyuzhi.m
cuve2.m
fdct_wrapping.m
fdct_wrapping_demo_basic.m
fdct_wrapping_demo_denoise.m
fdct_wrapping_demo_denoise_enhanced.m
fdct_wrapping_demo_disp.m
fdct_wrapping_demo_recon.m
fdct_wrapping_demo_wave.m
fdct_wrapping_dispcoef.m
fdct_wrapping_param.m
fdct_wrapping_pos2idx.m
fdct_wrapping_window.m
ifdct_wrapping.m
imnoise2.m
Lena.jpg
psnr.m
PSNR1.m
PSNR2.m
psnr5.m
README
SNR.m
SNR1.m
wigb.m
xiaobo.m
xiaoboquzao.m
鸟巢.jpg
曲波改进.m
曲波软.m
曲波硬.m
曲波折衷.m
长城.jpg
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5（1）.PNG
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