denoise
所属分类：图形图象
开发工具：matlab
文件大小：2082KB
下载次数：9
上传日期：2019-06-06 20:16:16
上 传 者：
4079416
说明： 采用自适应非局部降噪的算法对图像进行去噪处理，能够实现不同算法的降噪处理
(Using adaptive non-local denoising algorithm to denoise image can achieve denoising processing of different algorithms.)
文件列表:
NASNLM (0, 2016-04-20)
NASNLM\ACWMF.m (1365, 2016-04-20)
NASNLM\DBA.m (2221, 2016-04-20)
NASNLM\MAE.m (409, 2016-04-20)
NASNLM\MSE.m (404, 2016-04-20)
NASNLM\NAFSM.m (1894, 2016-04-20)
NASNLM\NASEPF.m (3311, 2016-04-20)
NASNLM\NASNLM.m (4796, 2016-04-20)
NASNLM\PSNR.m (416, 2016-04-20)
NASNLM\SNR.m (445, 2016-04-20)
NASNLM\baboon512.bmp (263224, 2016-04-20)
NASNLM\barbara128.bmp (17464, 2016-04-20)
NASNLM\barbara256.bmp (66614, 2016-04-20)
NASNLM\barbara512.bmp (263224, 2016-04-20)
NASNLM\barbara64.bmp (5176, 2016-04-20)
NASNLM\bridge128.bmp (17464, 2016-04-20)
NASNLM\bridge256.bmp (66616, 2016-04-20)
NASNLM\bridge64.bmp (5176, 2016-04-20)
NASNLM\cameraman256.bmp (66616, 2016-04-20)
NASNLM\couple256.bmp (66614, 2016-04-20)
NASNLM\dog256.bmp (66616, 2016-04-20)
NASNLM\goldhill512.bmp (263224, 2016-04-20)
NASNLM\lena128.bmp (17464, 2016-04-20)
NASNLM\lena256.bmp (66616, 2016-04-20)
NASNLM\lena512.bmp (263224, 2016-04-20)
NASNLM\lena64.bmp (5176, 2016-04-20)
NASNLM\manmade128.bmp (17464, 2016-04-20)
NASNLM\manmade256.bmp (66616, 2016-04-20)
NASNLM\manmade64.bmp (5176, 2016-04-20)
NASNLM\output (0, 2016-04-20)
NASNLM\output\0.bmp (66614, 2016-04-20)
NASNLM\output\1.bmp (66614, 2016-04-20)
NASNLM\output\1_MF.bmp (66614, 2016-04-20)
NASNLM\output\2_ACWMF.bmp (66614, 2016-04-20)
NASNLM\output\3_DBA.bmp (66614, 2016-04-20)
NASNLM\output\4_NAFSM.bmp (66614, 2016-04-20)
NASNLM\output\5_NASEPF.bmp (66614, 2016-04-20)
NASNLM\output\6_NASNLM.bmp (66614, 2016-04-20)
NASNLM\output\result.xls (13824, 2016-04-20)
... ...
# Noise Adaptive Switching Non-Local Means(NASNLM)
Aiming at the removal of salt-and-pepper noise, a noise adaptive switching non-local means denoising algorithm (NASNLM) is proposed in this program. For noise detection, the pixels of image are divided into the noise and the non-noise points. For filtering, four different filtering techniques are adopted: switching filtering, noise adaptive median filtering, edge-perserving filtering and non-local means filtering. Switching filtering can keep the gray-value of non-noise points unchanged. Noise adaptive median filtering can suppress the high-density salt-and-pepper noise. Edge-preserving filtering can preserve more image edges and details. Non-local means filtering can further improve the ability of noise suppression and detail maintenance. Experiments demonstrate that for removal of the high-density salt-and-pepper noise by NASNLM algorithm, a better denoising effect is obtained than other methods.
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