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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 ,
Collaborative,
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ieved by grouping similar 2-D image fragments (e.g., blocks) into 3-D data arrays which we call
“groups.” Collaborative filtering is a special procedure 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
essen..................[:=> 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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easily with VLSI circuit is adopted. To decide the edge, we consider 12 directional differences, from D1 to D12 , as shown in Fig. 3. Only those composed of noise-free pixels are taken into account to avoid possible misdetection. If a bit in B is equal to 1, it means that the pixel related to the binary flag is suspected to be a noisy pixel. Directions passing through the suspected pixels are discarded to reduce misdetection. In each condition, at most four directions are chosen for low-cost hardware implementation. If there appear over four directions, only four of them are chose accordingt.................. [:=> 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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proposed by Nisha Mary Mathew and K. A. Navas a novel blind reversible data hiding algorithm in
medical images based on non sub sampled contourlet transform is proposed. It has the advantages of
high capacity, imperceptibility and robustness. The advantages of contourlet transform over other transforms (wavelet & DCT)have been discussed by Minh N Do & Vetterli. Contourlet transformThe Contourlet transform was proposed by M. N. Do and M. Vetterli The contourlet transform provides a multiscale and multi-directional representation of an image.It consists of a double filter ba.................. [:=> 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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ceptance 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 psychological effect on the user because of its wide use in crime investigations. If any biometric modality is to succeed in.................. [:=> 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 ,
Collaborative,
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ancement of the sparsity is achieved by grouping similar 2-D image fragments (e.g., blocks) into
3-D data arrays which we call “groups.” Collaborative filtering is a special procedure
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 sam..................[:=> 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 ,
how to get seminar report on image denoising,
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ard R. Abugharbieh University of British Columbia ECE Dept. Vancouver, 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 .................. [:=> 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..................[:=> 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..................[:=> Show Contents <=:] |

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