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文件名称:VistaRestoreTools1.0

  • 所属分类：
  • matlab例程
  • 资源属性：
  • [Matlab] [源码]
  • 上传时间：
  • 2012-11-26
  • 文件大小：
  • 13.12mb
  • 下载次数：
  • 0次
  • 提 供 者：
  • m**
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修正介绍说明

介绍说明－－下载内容均来自于网络，请自行研究使用

denoise

In BayesShrink[5] we determine the threshold for

each subband assuming a Generalized Gaussian

Distribution(GGD) . The GGD is given by

GG¾ X ¯ (x) = C(¾ X ¯ )exp¡ [® (¾ X ¯ )jxj]¯ (6)

¡ 1 < x < 1 ¯ > 0, where

® (¾ X ¯ ) = ¾ ¡ 1

X [ ¡ (3=¯ )

¡ (1=¯ ) ]1=2

and

C(¾ X ¯ ) = ¯ ¢ ® (¾ X ¯ )

2¡ ( 1

¯ )

and ¡ (t) =

R1

0 e¡ uut¡ 1du.

The parameter ¾ X is the standard deviation and ¯

is the shape parameter It has been observed[5] that

with a shape parameter ¯ ranging from 0.5 to 1, we

can describe the the distribution of coefficients in a

subband for a large set of natural images.Assuming

such a distribution for the wavelet coefficients, we empirically

estimate ¯ and ¾ X for each subband and try

to find the threshold T which minimizes the Bayesian

Risk, i.e, the expected value of the mean square error.-denoise

In BayesShrink[5] we determine the threshold for

each subband assuming a Generalized Gaussian

Distribution(GGD) . The GGD is given by

GG¾ X ¯ (x) = C(¾ X　¯ )exp¡ [® (¾ X　¯ )jxj]¯　(6)

¡ 1 < x < 1　¯　> 0, where

® (¾ X　¯ ) = ¾ ¡ 1

X [ ¡ (3=¯ )

¡ (1=¯ ) ]1=2

and

C(¾ X　¯ ) = ¯ ¢ ® (¾ X ¯ )

2¡ ( 1

¯　)

and ¡ (t) =

R1

0 e¡ uut¡ 1du.

The parameter ¾ X is the standard deviation and ¯

is the shape parameter It has been observed[5] that

with a shape parameter ¯　ranging from 0.5 to 1, we

can describe the the distribution of coefficients in a

subband for a large set of natural images.Assuming

such a distribution for the wavelet coefficients, we empirically

estimate ¯　and ¾ X for each subband and try

to find the threshold T which minimizes the Bayesian

Risk, i.e, the expected value of the mean square error.
(系统自动生成,下载前可以参看下载内容)

下载文件列表

VistaRestoreTools1.0

....................\degradation

....................\...........\apply_degradation.m

....................\...........\apply_degradation_2.m

....................\...........\degrada2.m

....................\...........\degrade.m

....................\imagenes

....................\........\070809-1805.f.jpg

....................\........\070809-1805ni.f.jpg

....................\........\barbara.png

....................\........\barbara256.mat

....................\........\barbara512.mat

....................\........\barco.jpg

....................\........\boat.png

....................\........\boats.png

....................\........\boats256.mat

....................\........\cameraman.bmp

....................\........\cameraman.mat

....................\........\cameraman.png

....................\........\cameraman256.mat

....................\........\DSC01031.png

....................\........\einstein.bmp

....................\........\einstein.png

....................\........\einstein256.mat

....................\........\fingerprint.png

....................\........\flinstones.png

....................\........\fruta256.mat

....................\........\goldhill256.bmp

....................\........\goldhill256.mat

....................\........\goldhill256.png

....................\........\hojas.png

....................\........\hojas256.mat

....................\........\house.png

....................\........\lena.png

....................\........\lena256.mat

....................\........\lena512.mat

....................\........\mandril256.mat

....................\........\mandrill.png

....................\........\mazinger.jpg

....................\........\natural.mat

....................\........\peppers256.mat

....................\........\peppers256.png

....................\........\piedras256.mat

....................\........\sintetica.bmp

....................\........\sintetica.png

....................\........\Thumbs.db

....................\........\WS_FTP.LOG

....................\image_degradation_demo.m

....................\image_denoising_demo.m

....................\image_restoration_demo.m

....................\local_fourier_restoration

....................\.........................\demo_denoising.m

....................\.........................\demo_denoising_one_lambda.m

....................\.........................\demo_restoration.m

....................\.........................\doc

....................\.........................\...\alpha.png

....................\.........................\...\c++.png

....................\.........................\...\c.png

....................\.........................\...\demoicon.gif

....................\.........................\...\down.png

....................\.........................\...\fortran.png

....................\.........................\...\hp.png

....................\.........................\...\index.html

....................\.........................\...\left.png

....................\.........................\...\linux.png

....................\.........................\...\m2html.css

....................\.........................\...\matlabicon.gif

....................\.........................\...\mex.png

....................\.........................\...\PR

....................\.........................\...\..\ajusta_bloque_ar12.html

....................\.........................\...\..\ajusta_bloque_ar4.html

....................\.........................\...\..\ajusta_bloque_ar8.html

....................\.........................\...\..\ampliaconborde.html

....................\.........................\...\..\ancho1_interaccion.html

....................\.........................\...\..\constantes_sin_continua.html

....................\.........................\...\..\costeinvrespfour.html

....................\.........................\...\..\degrada2.html

....................\.........................\...\..\dezigzag.html

....................\.........................\...\..\do_overlap.html

....................\.....................

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