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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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1X k=¡1 ld x (2) where n and k denote discrete time coe±cients, x the decomposed signal. DOWNLOAD FULL REPORT http://dsp.vscht.cz/konference_matlab/MATLAB06/prispevky/hostalkova_prochazka/hostalkova_prochazka.p df.................. [:=> 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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among D1,D6, D8 and D12. C. Impulse Arbiter Since the value of a pixel corrupted by the fixed-value impulse noise will jump to be the minimum/maximum value in gray scale, we can conclude that if pi,j is corrupted,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 condit.................. [:=> 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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l 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 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..................[:=> 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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sed on this novel denoising strategy and its efficient implementation are presented in full detail;
an extension to color-image denoising 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 multires.................. [:=> 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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TERPOLATION M. Ghazel R. K. Ward 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 orig.................. [:=> 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 c..................[:=> Show Contents <=:] |

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