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## 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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## WAVELET SIGNAL AND IMAGE DENOISINGPosted by: seminar class Created at: Tuesday 03rd of May 2011 04:32:00 AM Last Edited Or Replied at :Tuesday 03rd of May 2011 04:32:00 AM | WAVELET SIGNAL AND IMAGE DENOISING ,
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wavelet families are orthogonal or biorthogonal bases, and thus do not produce redundant analysis. The DWT corresponds to its continuous version sampled usually on a dyadic grid, which means that the scales and translations are powers of two . In practise, the DWT is computed by passing a signal successively through a high-pass and a low- pass ¯lter. For each decomposition level, the high-pass ¯lter hd forming the wavelet function produces the approximations A. The complementary low-pass ¯lter ld representing the scaling function produces the details D . This computational algo.................. [:=> 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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Dmin) among them, as shown in Fig. 2. The smallest directional difference implies that it has the
strongest spatial relation with pi,j , and probably there exists an edge in its direction. Hence,
the mean of luminance values of the two pixels which 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 ..................[:=> 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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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 life. This
paper 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 ,
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l quality. IntroductionPlenty of denoising methods e.................. [:=> 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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e a fractally denoised estimate of the original image. The fractal interpolation can be easily
achieved during the decoding process by iterating th..................[:=> 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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## 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 provi..................[:=> Show Contents <=:] |

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