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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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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 each pixel,
we..................[:=> 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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hich possess the smallest directional difference is treated as fˆi,j . For example, if is equal to
“10011,” it means that fi,j-1,fi+1,j And fi+1,j+1 are suspected to be noisy values. Therefore,
D2 _D5 ,D7 and D9_ D11 discarded because they contain those suspected pixels (see Fig. 3). The
four chosen directional differences are D1, D6 , D8 and D12 (see Fig. 4). Finally, is equal to the mean of luminance values of the two pixels which possess the smallest directional difference among D1,D6, D8 and D12. C. Impulse Arbiter Since the value of a pixel corrupted by the fixed.................. [:=> 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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Large amounts of data could be hidden and hiding in the low frequency regions ensures robustness
against JPEG compression attacks. Integer Wavelet Transform is used for perfect reconstruction of
the data from the embedded image. One method proposed by Hedieh Sajedi and Mansour Jamzad presents a new adaptive a new adaptive steganographic scheme based on contourlet transform that provides large embedding capacity. The contourlet coefficients with larger magnitude that correspond to the edges are selected for embedding.This method is superior to a similar wavelet based approach. In another .................. [:=> 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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been collected over a period of six months and have been evaluated for the performance of the
proposed system. The experimental 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 peo.................. [:=> 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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ata/members/fazli_saeid/DIP/Paper/ISSUE8/04271520.pdf..................[:=> 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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ised 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 r..................[:=> 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
alon..................[:=> Show Contents <=:] |

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