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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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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 each pixel, we
obtain many different estimates which need to be combined. Aggregation is a particular averaging
procedure which is exploited to take advantage of this redundancy. A significant improvement is
obtained by a s..................[:=> 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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rdingto the variation in angle. Fig. 4 shows the mapping table between B and the chosen directions adopted in the design.If pi,j-1 ,pi,j+1, pi+1,j-1,pi+1,jand pi+1,j+1 are all suspected to be noisy pixels (B=“11111”), no edgecan be processed, so fˆi.j (the estimated value of pi,j)is equal to the weighted average of luminance values of three previously denoised pixels and calculated as In other conditionsexcept when “ B=11111” the edge filter calculates thedirectional differences of the chosen directions and locates the smallest one (Dmin) among them, as shown in Fig. 2. The smalle.................. [:=> 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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; clc; x=imread('peppers','png'); disp( 'Displaying the input image...'); clf; imagesc(x, ); title( 'Input image' ) ; axis image off; colormap('gray'); input( 'Press Enter key to continue...' ) ; 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') .................. [:=> 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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ingerprint 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 psychological effect on the
user because of its wide use in crime investigations. If any biometric modality is to succeed in the
future it should have the traits like unique-ness, accuracy, richness, ease of acquisition,
reliability and above all user acceptance. Palm print based personal identi-fication is a new
biometric modality which is getting wide acceptance and has all the necessary traits to make it a
part of our daily ..................[:=> 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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this redundancy. A significant improvement is obtained by a specially developed collaborativeWiener
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 suc.................. [:=> 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 ,
DENOISING,
IMAGE ,
FRACTAL,
SIMULTANEOUS ,
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be easily achieved during the decoding process by iterating the predicted fractal code on a suitably
sized blank intital image seed. The cycle spinning algorithm can also be incorporated in the
proposed fractal joint denoising and r..................[:=> 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 w..................[:=> 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 ..................[:=> Show Contents <=:] |

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