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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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seminars report is needed along wi..................[:=> Show Contents <=:] | |||

## 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,
WAVELET ,
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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 of the signal and the scaled wavelet function, which can be interpreted as a dilated band-pass ¯lter because of its band-pass like spectrum . The scale is inversely proportional to radian frequency. Consequently, low frequencies correspond to high scales and a dilated wavelet function. By wavelet analysis at high scales, we.................. [:=> 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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d pixels (see Fig. 3). The four chosen directional differences are D1, D6 , D8 and D12 (see Fig. 4).
Finally, is equal to the mean of luminance values of the two pixels which possess the smallest directional difference 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 .................. [:=> 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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able biometric based personal identification system. Palmprint based personal verification has
become an in-creas..................[:=> 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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ch 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 collaborativeWiener filtering. An
algorithm based 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 p..................[:=> 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 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 of the noisy observation. This fractal code can then be used to generate a fractally denoised estimate of the original image. The f.................. [:=> 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 a..................[:=> 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 topic
along with explanation .................. [:=> Show Contents <=:] |

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