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  • 語(yǔ)言: Matlab
  • 標(biāo)簽: BM3D??MATLAB??

資源簡(jiǎn)介

function [PSNR, y_est] = BM3D(y, z, sigma, profile, print_to_screen,N2,N2_wiener,Ns,Ns_wiener,tau_match) %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % BM3D is an algorithm for attenuation of additive white Gaussian noise from % grayscale images. This algorithm reproduces the results from the article: % % [1] K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "Image Denoising % by Sparse 3D Transform-Domain Collaborative Filtering," % IEEE Transactions on Image Processing, vol. 16, no. 8, August, 2007. % preprint at http://www.cs.tut.fi/~foi/GCF-BM3D. % % % FUNCTION INTERFACE: % % [PSNR, y_est] = BM3D(y, z, sigma, profile, print_to_screen) % % ! The function can work without any of the input arguments, % in which case, the internal default ones are used ! % % BASIC USAGE EXAMPLES: % % Case 1) Using the default parameters (i.e., image name, sigma, etc.) % % [PSNR, y_est] = BM3D; % % Case 2) Using an external noisy image:

資源截圖

代碼片段和文件信息

function?[PSNR?y_est]?=?BM3D(y?z?sigma?profile?print_to_screenN2N2_wienerNsNs_wienertau_match)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%??BM3D?is?an?algorithm?for?attenuation?of?additive?white?Gaussian?noise?from?
%??grayscale?images.?This?algorithm?reproduces?the?results?from?the?article:
%
%??[1]?K.?Dabov?A.?Foi?V.?Katkovnik?and?K.?Egiazarian?“Image?Denoising?
%??????by?Sparse?3D?Transform-Domain?Collaborative?Filtering“?
%??????IEEE?Transactions?on?Image?Processing?vol.?16?no.?8?August?2007.
%??????preprint?at?http://www.cs.tut.fi/~foi/GCF-BM3D.
%
%
%??FUNCTION?INTERFACE:
%
%??[PSNR?y_est]?=?BM3D(y?z?sigma?profile?print_to_screen)
%
%??!?The?function?can?work?without?any?of?the?input?arguments?
%???in?which?case?the?internal?default?ones?are?used?!
%?
%??BASIC?USAGE?EXAMPLES:
%
%?????Case?1)?Using?the?default?parameters?(i.e.?image?name?sigma?etc.)
%?
%??????[PSNR?y_est]?=?BM3D;
%?
%?????Case?2)?Using?an?external?noisy?image:
%
%??????%?Read?a?grayscale?image?and?scale?its?intensities?in?range?[01]
%??????y?=?im2double(imread(‘Cameraman256.png‘));?
%??????%?Generate?the?same?seed?used?in?the?experimental?results?of?[1]
%??????randn(‘seed‘?0);
%??????%?Standard?deviation?of?the?noise?---?corresponding?to?intensity?
%??????%??range?[0255]?despite?that?the?input?was?scaled?in?[01]
%??????sigma?=?25;
%??????%?Add?the?AWGN?with?zero?mean?and?standard?deviation?‘sigma‘
%??????z?=?y?+?(sigma/255)*randn(size(y));
%??????%?Denoise?‘z‘.?The?denoised?image?is?‘y_est‘?and?‘NA?=?1‘?because?
%??????%??the?true?image?was?not?provided
%??????[NA?y_est]?=?BM3D(1?z?sigma);?
%??????%?Compute?the?putput?PSNR
%??????PSNR?=?10*log10(1/mean((y(:)-y_est(:)).^2))
%??????%?show?the?noisy?image?‘z‘?and?the?denoised?‘y_est‘
%??????figure;?imshow(z);???
%??????figure;?imshow(y_est);
%?
%?????Case?3)?If?the?original?image?y?is?provided?as?the?first?input?
%??????argument?then?some?additional?information?is?printed?(PSNRs?
%??????figures?etc.).?That?is?“[NA?y_est]?=?BM3D(1?z?sigma);“?in?the
%??????above?code?should?be?replaced?with:
%?
%??????[PSNR?y_est]?=?BM3D(y?z?sigma);
%?
%?
%??INPUT?ARGUMENTS?(OPTIONAL):
%
%?????1)?y?(matrix?M?x?N):?Noise-free?image?(needed?for?computing?PSNR)
%???????????????????????????replace?with?the?scalar?1?if?not?available.
%?????2)?z?(matrix?M?x?N):?Noisy?image?(intensities?in?range?[01]?or?[0255])
%?????3)?sigma?(double)??:?Std.?dev.?of?the?noise?(corresponding?to?intensities
%??????????????????????????in?range?[0255]?even?if?the?range?of?z?is?[01])
%?????4)?profile?(char)??:?‘np‘?-->?Normal?Profile?
%??????????????????????????‘lc‘?-->?Fast?Profile
%?????5)?print_to_screen?:?0?-->?do?not?print?output?information?(and?do?
%????????????????????????????????not?plot?figures)
%??????????????????????????1?-->?print?information?and?plot?figures
%
%??OUTPUTS:
%?????1)?PSNR?(double)??????????:?Output?PSNR?(dB)?only?if?the?original?
%?????????????????????????

?屬性????????????大小?????日期????時(shí)間???名稱
-----------?---------??----------?-----??----

?????文件??????22841??2014-08-30?13:26??BM3D\BM3D.m

?????文件??????17116??2009-06-17?19:54??BM3D\BM3DDEB.m

?????文件??????17668??2009-06-17?19:58??BM3D\BM3DSHARP.m

?????文件?????200704??2007-01-17?19:17??BM3D\bm3d_thr.dll

?????文件?????180038??2009-06-17?18:08??BM3D\bm3d_thr.mexa64

?????文件?????198707??2009-05-27?15:31??BM3D\bm3d_thr.mexglx

?????文件??????58592??2010-04-29?20:49??BM3D\bm3d_thr.mexmaci

?????文件?????200704??2007-01-17?19:17??BM3D\bm3d_thr.mexw32

?????文件?????195584??2008-10-17?19:52??BM3D\bm3d_thr.mexw64

?????文件?????151552??2008-11-18?22:34??BM3D\bm3d_thr_color.dll

?????文件?????110712??2009-06-17?18:08??BM3D\bm3d_thr_color.mexa64

?????文件?????158284??2008-11-18?16:41??BM3D\bm3d_thr_color.mexglx

?????文件??????42176??2010-04-29?20:49??BM3D\bm3d_thr_color.mexmaci

?????文件?????151552??2008-11-18?22:34??BM3D\bm3d_thr_color.mexw32

?????文件?????124928??2008-10-17?20:32??BM3D\bm3d_thr_color.mexw64

?????文件?????217088??2008-11-19?00:14??BM3D\bm3d_thr_colored_noise.dll

?????文件?????175956??2009-06-17?18:08??BM3D\bm3d_thr_colored_noise.mexa64

?????文件?????260360??2008-11-18?16:44??BM3D\bm3d_thr_colored_noise.mexglx

?????文件?????148772??2010-04-29?20:49??BM3D\bm3d_thr_colored_noise.mexmaci

?????文件?????217088??2008-11-19?00:14??BM3D\bm3d_thr_colored_noise.mexw32

?????文件?????196608??2008-10-17?00:06??BM3D\bm3d_thr_colored_noise.mexw64

?????文件?????188416??2008-11-18?22:11??BM3D\bm3d_thr_sharpen_var.dll

?????文件?????144444??2009-06-17?18:08??BM3D\bm3d_thr_sharpen_var.mexa64

?????文件?????235818??2008-11-18?16:49??BM3D\bm3d_thr_sharpen_var.mexglx

?????文件?????136524??2010-04-29?20:49??BM3D\bm3d_thr_sharpen_var.mexmaci

?????文件?????188416??2008-11-18?22:11??BM3D\bm3d_thr_sharpen_var.mexw32

?????文件?????158208??2008-10-17?17:26??BM3D\bm3d_thr_sharpen_var.mexw64

?????文件?????196608??2007-03-12?05:03??BM3D\bm3d_thr_video.dll

?????文件?????204696??2009-06-17?18:08??BM3D\bm3d_thr_video.mexa64

?????文件?????166577??2008-11-20?17:11??BM3D\bm3d_thr_video.mexglx

............此處省略43個(gè)文件信息

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