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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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d to processing of biomedical signals representing EEG signals and MR images corrupted by additional random noise. 1 IntroductionThe wavelet transform (WT) is a powerful tool of signal processing for its multiresolutional possibilities. Unlike the Fourier transform, the WT is suitable for application to non-stationary signals with transitory phenomena, whose frequency response varies in time . The wavelet coe±cients represent a measure of similarity in the frequency content between a signal and a chosen wavelet function . These coe±cients are computed as a convolution o.................. [:=> 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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.j is not equal to MINinW/MAXinW, we conclude that pi,j is a noise-freepixel and the following
steps for denoising pi,j are skipped. If is equal to MINinWorMAXinW ,we set φ to 1, check whether
its five neighboring pixels are equal to the extreme data, and store the binary compared results
into B. Edge-Oriented Noise Filter To locate the edge existed in the current W, a simple edge catchingtechnique which can be realized 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 o.................. [:=> 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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achment=5462]Wavelet Based Palmprint Authentication System ABSTRACTPalm print based personal verification has quickly entered the biometric family due to its ease of acquisition, high user acceptance and reliability. This paper proposes a 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 Disc.................. [:=> 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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noising 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 such as probability theory, statistics, partial differential equations, linear and nonlinear filtering, and spectral and multiresolution analysis. All these methods rely on some explicit or implicit assumptions about the true (noise-free) signal in order to s.................. [:=> 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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y denoised estimate of the original image. The fractal interpolation can be easily achieved during
the decoding process by iterating the predicted fractal code..................[:=> 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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