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## Image Denoising by Sparse 3-D Transform-Domain Collaborative FilteringPosted by: seminar surveyer Created at: Friday 08th of October 2010 01:45:22 AM Last Edited Or Replied at :Friday 08th of October 2010 01:45:22 AM | Filtering ,
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ge denoising is also developed. The experimental results demonstrate that this computationally
scalable algorithm achieves state-of-the-art denoising performance in terms of both peak
signal-to-noise ratio and subjective visual quality. IntroductionPlenty of denoising methods exist, originating from various disciplines such as probability theory, statistics, partial differential equations, linear and nonlinear filtering, and spectral and multiresolution analysis. All these methods rely on some explicit or implicit assumptions about the true (noise-free) signal in order.................. [:=> Show Contents <=:] | |||

## IMPLEMENTATION OF EDGE PRESERVING TECHNIQUES FOR EFFICIENT REMOVAL OF IMPULSE NOISEPosted by: seminar class Created at: Tuesday 19th of April 2011 01:50:05 AM Last Edited Or Replied at :Tuesday 19th of April 2011 01:50:05 AM | reduced simple edge preserved denoising ,
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condition to reduce the possibility of misdetection. If pi,j is a noise-free pixel and the current mask has high spatial correlation, f i,j should be close to fˆi,j and |f i,j _ fˆi,j|is small. That is to say,pi,j might be a noise-free pixel but the pixel value is MINinW orMAXinW if |f i,j _ fˆi,j| is small. We measure and |f i,j _ fˆi,j| and compare it with a threshold to determine whether pi,j is corrupted or not. The threshold, denoted as Ts, is a predefined value. Obviously, the threshold affects the performance of the proposed method. A more appropriate threshold can achieve a bet.................. [:=> Show Contents <=:] | |||

## STEGANOGRAPHY IN MATLAB USING CONTOURLET TRANSFORMPosted by: seminarsense Created at: Tuesday 16th of November 2010 09:34:55 AM Last Edited Or Replied at :Wednesday 26th of March 2014 11:26:54 AM | contourlet transform ,
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ue...' ) ; disp( ' ' ); nlevels = ; pfilter = 'pkva' ; nfilter = 'pkva' ; y = pdfbdec( double(x), pfilter, nfilter, nlevels ); disp('Displaying the contourlet coefficients...') ; imcoeff = showpdfb( y ) ; disp(y); title('Contourlet coefficients'); input('Press Enter key to continue...' ) ; disp(' '); a=y; b=a{1,2}{1,1}; c=b; k=input('enter length'); input ('enter the data') for u=1:k g(u)=input(''); end l=0; for m=1:256 for n=1:2:512 l=l+1; if (l>k) break; end if (g(l)==1) if b(m,n)
temp=b(m,n);.................. [:=> Show Contents <=:] | |||

## Wavelet Based Palmprint Authentication SystemPosted by: projectsofme Created at: Friday 08th of October 2010 11:32:53 PM Last Edited Or Replied at :Wednesday 13th of June 2012 05:40:17 AM | wavelet based image fusionwavelet based palmprint authentication system,
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d for feature extraction has motivated us to investigate the effectiveness of using combination of
multiple wavelets for the textural analysis of palmprint. .................. [:=> Show Contents <=:] | |||

## Image Denoising by Sparse 3-D Transform-Domain Collaborative FilteringPosted by: seminar surveyer Created at: Friday 08th of October 2010 01:45:22 AM Last Edited Or Replied at :Friday 08th of October 2010 01:45:22 AM | Filtering ,
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linear and nonlinear filtering, and spectral and multiresolution analysis. All these methods rely
on some explicit or implicit assumptions about the true (noise-free) signal in order to separate
it properly from the random noise. for more details,.................. [:=> Show Contents <=:] | |||

## SIMULTANEOUS FRACTAL IMAGE DENOISING AND INTERPOLATIONPosted by: project report helper Created at: Thursday 07th of October 2010 04:46:17 AM Last Edited Or Replied at :Thursday 07th of October 2010 04:46:17 AM | INTERPOLATION ,
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ouver, B.C. V6T 1Z E. R. Vrscay , G. H. Freeman University of Waterloo Applied Math Dept ECE Dept Waterloo, ON. N2L 3G1 ABSTRACT In this paper, a simple and effective fractal-based simultaneous image denoising and interpolation scheme is proposed and implemented. The denoising is performed during the fractal encoding process while the interpolation is performed during the decoding process. The fractal-based image denoising involves predicting the fractal code of the original noiseless image from the statistics of the noisy observation. This fractal code can then be used to gener.................. [:=> Show Contents <=:] | |||

## curvelet transform for image denoisingPosted by: vidhya chandran Created at: Wednesday 10th of November 2010 06:05:24 AM Last Edited Or Replied at :Monday 15th of November 2010 04:51:31 AM | applications of image denoisingdenoising,
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seminars report is needed along with ..................[:=> Show Contents <=:] | |||

## study on huber fractal image compressionPosted by: selvi Created at: Friday 02nd of April 2010 06:12:10 AM Last Edited Or Replied at :Friday 02nd of April 2010 06:27:20 AM | fractal image enlargement,
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could i get a clear explanation about the topic . And also could u provide me code for this topic
along wit..................[:=> Show Contents <=:] |

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