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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 with ppt.presenrtatio..................[:=> 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 ,
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The paper deals with the use of wavelet transform for signal and image de-noising employing a selected method of thresholding of appropriate decomposition coef- ¯cients. The proposed technique is based upon the analysis of wavelet transform and it includes description of global modi¯cation of its values. The whole method is veri¯ed for simulated signals and applied 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 multiresolu.................. [:=> 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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cted value fˆi,j; otherwise,fˆi,j =fi,j. SEPD is composed of three components: extreme data
detector, edge-oriented noise filter and impulse arbiter. Theextreme data detector detects the
minimum and maximum luminance values in W,and determines whether the luminance values of pi,j and
its five neighboring pixels are equal to the extreme data. By observing the spatial correlation, the
edge-oriented noise filter pinpoints a directional edge and uses it to generate the estimated value
of current pixel. Finally, the impulse arbiter brings out the proper result.The three components of
SEPD are de..................[:=> 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 along with ppt.pr..................[:=> 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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ts 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 system. The experimental results
obtained from the data have demon-strated the feasibility of the proposed system by exhibiting
Genuine Acceptance Rate, GAR of 97.12%. INTRODUCTION Biometrics based personal identification is getting wide acceptance in the networked society, replacing passwords and keys due to .................. [:=> 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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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 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, l.................. [:=> 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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sily 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 fractal joint denoising and resizing sc..................[:=> 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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