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    文件類型: .zip
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    發布日期: 2021-04-29
  • 語言: Matlab
  • 標簽: 反卷積??圖像??

資源簡介

來自D. Krishnan, R. Fergus中提到的方法 The Matlab functions in this directory solve the deconvolution problem in the paper D. Krishnan, R. Fergus: "Fast Image Deconvolution using Hyper-Laplacian Priors", Proceedings of NIPS 2009.

資源截圖

代碼片段和文件信息

function?[yout]?=?fast_deconv(yin?k?lambda?alpha?yout0)
%
%
%?fast_deconv?solves?the?deconvolution?problem?in?the?paper?(see?Equation?(1))
%?D.?Krishnan?R.?Fergus:?“Fast?Image?Deconvolution?using?Hyper-Laplacian
%?Priors“?Proceedings?of?NIPS?2009.
%
%?This?paper?and?the?code?are?related?to?the?work?and?code?of?Wang
%?et.?al.:
%
%?Y.?Wang?J.?Yang?W.?Yin?and?Y.?Zhang?“A?New?Alternating?Minimization
%?Algorithm?for?Total?Variation?Image?Reconstruction“?SIAM?Journal?on
%?Imaging?Sciences?1(3):?248:272?2008.
%?and?their?FTVd?code.?
??
%?Input?Parameters:
%
%?yin:?Observed?blurry?and?noisy?input?grayscale?image.
%?k:??convolution?kernel
%?lambda:?parameter?that?balances?likelihood?and?prior?term?weighting
%?alpha:?parameter?between?0?and?2
%?yout0:?if?this?is?passed?in?it?is?used?as?an?initialization?for?the
%?output?deblurred?image;?if?not?passed?in?then?the?input?blurry?image
%?is?used?as?the?initialization
%
%
%?Outputs:
%?yout:?solution
%?
%?Note:?for?faster?LUT?interpolation?please?download?and?install
%?matlabPyrTools?of?Eero?Simoncelli?from
%?www.cns.nyu.edu/~lcv/software.php.?The?specific?MeX?function?required
%?is?pointOp?(used?in?solve_image.m).
%
%?Copyright?(C)?2009.?Dilip?Krishnan?and?Rob?Fergus
%?Email:?dilipfergus@cs.nyu.edu

%?continuation?parameters
beta?=?1;
beta_rate?=?2*sqrt(2);
beta_max?=?2^8;

%?number?of?inner?iterations?per?outer?iteration
mit_inn?=?1;

[m?n]?=?size(yin);?
%?initialize?with?input?or?passed?in?initialization
if?(nargin?==?5)
??yout?=?yout0;
else
??yout?=?yin;?
end;

%?make?sure?k?is?a?odd-sized
if?((mod(size(k?1)?2)?~=?1)?|?(mod(size(k?2)?2)?~=?1))
??fprintf(‘Error?-?blur?kernel?k?must?be?odd-sized.\n‘);
??return;
end;
ks?=?floor((size(k?1)-1)/2);

%?compute?constant?quantities
%?see?Eqn.?(3)?of?paper
[Nomin1?Denom1?Denom2]?=?computeDenominator(yin?k);

%?x?and?y?gradients?of?yout?(with?circular?boundary?conditions)
%?other?gradient?filters?may?be?used?here?and?their?transpose?will?then?need?to
%?be?used?within?the?inner?loop?(see?comment?below)?and?in?the?function
%?computeDenominator
youtx?=?[diff(yout?1?2)?yout(:1)?-?yout(:n)];?
youty?=?[diff(yout?1?1);?yout(1:)?-?yout(m:)];?

%?store?some?of?the?statistics
costfun?=?[];
Outiter?=?0;

%%?Main?loop
while?beta?????Outiter?=?Outiter?+?1;?
????fprintf(‘Outer?iteration?%d;?beta?%.3g\n‘Outiter?beta);
????
????gamma?=?beta/lambda;
????Denom?=?Denom1?+?gamma*Denom2;
????Inniter?=?0;

????for?Inniter?=?1:mit_inn
??????
??????if?(0)
????????%%%?Compute?cost?function?-?uncomment?to?see?the?original
????????%?minimization?function?costs?at?every?iteration
????????youtk?=?conv2(yout?k?‘same‘);
????????%?likelihood?term
????????lh?=?sum(sum((youtk?-?yin).^2?));
????????
????????if?(alpha?==?1)
??????????cost?=?(lambda/2)*lh?+??sum(abs(youtx(:)))?+?sum(abs(youty(:)));
????????else
??????????cost?=?(lambda/2)*lh?+??sum(abs(youtx(:)).^

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2012-08-14?10:18??fastdeconv\
?????文件?????2158368??2009-12-01?11:21??fastdeconv\dsc_0085.jpg
?????文件????????4694??2010-01-02?01:48??fastdeconv\fast_deconv.m
?????文件????????2175??2009-12-02?03:50??fastdeconv\kernels.mat
?????文件????????2135??2010-01-02?01:41??fastdeconv\README.txt
?????文件?????????712??2009-12-01?11:43??fastdeconv\snr.m
?????文件????????6057??2009-12-02?03:07??fastdeconv\solve_image.m
?????文件????????1912??2010-01-02?01:37??fastdeconv\test_fast_deconv.m

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