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ROF去噪,圖像處理,matlab源碼
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%%?ROFdenoise
%
%??This?denoising?method?is?based?on?total-variation?originally?proposed?by
%??Rudin?Osher?and?Fatemi.?In?this?particular?case?fixed?point?iteration
%??is?utilized.
%
%??For?the?included?image?a?fairly?good?result?is?obtained?by?using?a
%??theta?value?around?12-16.?A?possible?addition?would?be?to?analyze?the
%??residual?with?an?entropy?function?and?add?back?areas?that?have?a?lower
%??entropy?i.e.?there?are?some?correlation?between?the?surrounding?pixels.
%?
%??Philippe?Magiera?&?Carl?L鰊dahl?2008
%
function?A?=?ROFdenoise(Image?Theta)
[Image_h?Image_w]?=?size(Image);?
g?=?1;?dt?=?1/4;?nbrOfIterations?=?5;
Image?=?double(Image);
p?=?zeros(Image_hImage_w2);
d?=?zeros(Image_hImage_w2);
div_p?=?zeros(Image_hImage_w);
for?i?=?1:nbrOfIterations
????for?x?=?1:Image_w
????????for?y?=?2:Image_h-1
????????????div_p(yx)?=?p(yx1)?-?p(y-1x1);
????????end
????end
????for?x?=?2:Image_w-1
????????for?y?=?1:Image_h
????????????div_p(yx)?=?div_p(yx)?+?p(yx2)?-?p(yx-12);
????????end
????end
????
????%?Handle?boundaries
????div_p(:1)?=?p(:12);
????div_p(:Image_w)?=?-p(:Image_w-12);
????div_p(1:)?=?p(1:1);
????div_p(Image_h:)?=?-p(Image_h-1:1);
????%?Update?u
????u?=?Image-Theta*div_p;
????%?Calculate?forward?derivatives
????du(::2)?=?u(:[2:Image_w?Image_w])-u;
????du(::1)?=?u([2:Image_h?Image_h]:)-u;
????%?Iterate
????d(::1)?=?(1+(dt/Theta/g).*abs(sqrt(du(::1).^2+du(::2).^2)));
????d(::2)?=?(1+(dt/Theta/g).*abs(sqrt(du(::1).^2+du(::2).^2)));
????p?=?(p-(dt/Theta).*du)./d;
????
end
A?=?u;
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件??????182633??2008-12-11?22:35??noisy.jpg
?????目錄???????????0??2008-12-11?23:25??__MACOSX\
?????文件??????????82??2008-12-11?22:35??__MACOSX\._noisy.jpg
?????文件????????1571??2008-12-11?23:24??ROFdenoise.m
?????文件??????????82??2008-12-11?23:24??__MACOSX\._ROFdenoise.m
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