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## matlab code for image denoising using contourlet transformPosted by: Created at: Thursday 19th of March 2015 07:48:27 AM Last Edited Or Replied at :Friday 20th of March 2015 12:59:14 AM | |||

matlab code for image denoising using contourlet,wavelet and curvelet transform with psnr
calculation....pls snd me immediately..................[:=> 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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filtering. An algorithm based on this novel denoising strategy and its efficient implementation
are presented in full detail; an extension to color-image 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,.................. [:=> 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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constructed image...') ; disp('It should be a perfect reconstruction' ) ; disp(' ') ; subplot(1,2,1), imagesc( x, ); title('Original image' ) ; axis image off; subplot(1,2,2), imagesc( c, ); title('Reconstructed image' ) ; axis image off; mse = sum( sum( (c - double(x)).^2 ) ); mse = mse / prod(size(x)); disp( sprintf('The mean square error is: %f', mse ) ); disp(' '); d = pdfbdec( double(c), pfilter, nfilter, nlevels ); e=d{1,2}{1,1}; q=0; for o=1:256 for p=1:2:512 q=q+1; if (q>k) break; end if e(o,p) els.................. [:=> 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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erimental results obtained from the data have demon-strated the feasibility of the proposed system
by exhibiting Genuine Acceptance Rate, GAR of 97.12%. INTRODUCTION Biometrics based personal identification is getting wide acceptance in the networked society, replacing passwords and keys due to its reliability, uniqueness and the ever in-creasing demand of security. Common modalities being used are fingerprint and face but for face authentication people are still working with the problem of pose and illu-mination invariance where as fingerprint does not have a good p.................. [:=> 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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developed to deal with these 3-D groups. We realize it using the three successive steps: 3-D
transformation of a group, shrinkage of the transform spectrum, and inverse 3-D transformation. The
result is a 3-D estimate that consists of the jointly filtered grouped image blocks. By
attenuating the noise, the collaborative filtering reveals even the finest details shared by
grouped blocks and, at the same time, it preserves the essential unique features of each individual
block. The filtered blocks are then returned to their original positions. Because these blocks are
overlapping, for ..................[:=> 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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ithm can also be incorporated in the proposed fractal joint denoising and resizing scheme in order
to reduce some of the artifacts and enhance the visual quality of the fractally denoised and resized
estimates. ..................[:=> 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 ..................[:=> Show Contents <=:] |

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