文件名称:bayesthresholding2
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本文实现基于贝叶斯(BAYES)阈值的小波(WAVELET)图像去噪算法,相比较其它的小波去噪算法而言,效果非常好-This realization based on Bayesian (BAYES) Threshold the wavelet (WAVELET) image denoising algorithm, compared with other wavelet denoising algorithm, the effect was very good
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下载文件列表
bayesthresholding2/barbara.png
bayesthresholding2/bayes.m
bayesthresholding2/bayes.pdf
bayesthresholding2/boat.png
bayesthresholding2/cameraman.jpg
bayesthresholding2/chapter4.doc
bayesthresholding2/compare11.m
bayesthresholding2/friend.jpg
bayesthresholding2/friendgray.jpg
bayesthresholding2/house.png
bayesthresholding2/hyderabad512.png
bayesthresholding2/lena.png
bayesthresholding2/mainuday
bayesthresholding2/peppers256.png
bayesthresholding2/raodecompduplicate.asv
bayesthresholding2/raomain.m
bayesthresholding2/sthresh.m
bayesthresholding2/udaymain.asv
bayesthresholding2/wave2gray.p
bayesthresholding2/wavecopy.p
bayesthresholding2/wavecut.p
bayesthresholding2/wavefast.p
bayesthresholding2/wavefilter.p
bayesthresholding2/wavework.p
bayesthresholding2/wpsnr.asv
bayesthresholding2/wpsnr.m
bayesthresholding2
bayesthresholding2/bayes.m
bayesthresholding2/bayes.pdf
bayesthresholding2/boat.png
bayesthresholding2/cameraman.jpg
bayesthresholding2/chapter4.doc
bayesthresholding2/compare11.m
bayesthresholding2/friend.jpg
bayesthresholding2/friendgray.jpg
bayesthresholding2/house.png
bayesthresholding2/hyderabad512.png
bayesthresholding2/lena.png
bayesthresholding2/mainuday
bayesthresholding2/peppers256.png
bayesthresholding2/raodecompduplicate.asv
bayesthresholding2/raomain.m
bayesthresholding2/sthresh.m
bayesthresholding2/udaymain.asv
bayesthresholding2/wave2gray.p
bayesthresholding2/wavecopy.p
bayesthresholding2/wavecut.p
bayesthresholding2/wavefast.p
bayesthresholding2/wavefilter.p
bayesthresholding2/wavework.p
bayesthresholding2/wpsnr.asv
bayesthresholding2/wpsnr.m
bayesthresholding2
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