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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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ssively 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 algorithm shown in Fig. 1a is called the subband coding. The resolution is altered by the ¯ltering process, and the scale is changed by either upsampling or downsampling by 2. This is described by the following two equations D1 = 1X k=¡1 hd x (1) A1 = 1X k=¡1 ld x .................. [:=> 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 pixels are discarded to reduce misdetection. In each condition, at most four directions are
chosen for low-cost hardware implementation. If there appear over four directions, only four of them are chose accordingto the variation in angle. Fig. 4 shows the mapping table between B and the chosen directions adopted in the design.If pi,j-1 ,pi,j+1, pi+1,j-1,pi+1,jand pi+1,j+1 are all suspected to be noisy pixels (B=“11111”), no edgecan be processed, so fˆi.j (the estimated value of pi,j)is equal to the weighted average of luminance values of three previously denoised pixels and calcul.................. [:=> 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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## 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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ptance Rate, GAR of 97.12%. INTRODUCTION Biometrics based personal identification is getting wide acceptance in the networked society, replacing passwords and keys due to its reliability, uniqueness and the ever in-creasing demand of security. Common modalities being used are fingerprint and face 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 t.................. [:=> 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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bout the true (noise-free) signal in order to separate it properly from the random noise. for more details, please visit http://www.znu.ac.ir/data/members/fazli_saeid/DIP/Paper/ISSUE8/04271520.pdf.................. [:=> 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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cheme 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 fractal interpolation can be easily achieved during the decoding process by
iterating the predicted fractal code on a suitably sized blank intital image seed. The cycle
spinning algor..................[:=> 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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