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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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Transform Domain ,
Sparse,
Denoising ,
Image,
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l 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 essential unique features of each
individual block. The filtered blocks are then returned to their original positions. Because these
blocks are overla..................[:=> 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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coding for low cost vlsi implementation for efficient removal of impulse noise detection ,
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upted,f i,j is equal to MINinW orMAXinW . However, the converse is not true. If fi,j is equal to MINinW or MAXinW,pi,j, may be corrupted or just in the region with the highest or lowest luminance. In otherwords, a pixel whose value is MINinW or MAXinW might be identified as a noisy pixel even if it is not corrupted. To overcome this drawback, we add another 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 nois.................. [:=> 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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ipulating the values of coefficients in contourlet domain has less effect in the quality of image
than in wavelet domain. Contourlet filter bank Embedding and extraction of data in Contourlet domainThe structure of a steganography scheme in contourlet domain is as shown in figure. An image is decomposed with a one level contourlet transform. Then the embedding method determines the regions of the subbands in which the data can be embedded. It also determines higher contourlet coefficients in t.................. [:=> 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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palm print based identification system using the textural information, employing different wavelet
transforms. The transforms employed have been analyzed for their individual as well as combined
performances at feature level. The wavelets used for the analysis are Biorthogonal, Symlet and
Discrete Meyer. The analysis of these wavelets is carried out on 500 images, acquired through
indigenously made image acquisition sys-tem. 500 palm print obtained from 50 users with 10 samples
each have been collected over a period of six months and have been evaluated for the performance of
the proposed sys..................[:=> 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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rouped 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 specially developed
collaborativeWie..................[:=> 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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ing 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 generate a fractally denoised estimate of the original image. The fractal interpolation can
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..................[:=> 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 alo..................[:=> 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 t..................[:=> Show Contents <=:] |

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