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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 pp..................[:=> 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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¯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 (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_pro.................. [:=> 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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ormulation. According to our experimental results, we set the threshold Ts as 20. If pi,j is judged as a corrupted pixel, the reconstructed luminance value f ˆi,jis equal to fˆi,j ; otherwise, fˆ i,j =fi,j III. IMPLEMENTATION OF REDUCED SEPDIn SEPD, we consider 12 directional differences to decide the proper edge. When more edges are considered, more complex computations are required. To further reduce the cost of implementation, we modify SEPD and propose another design, named as reduced SEPD (RSEPD). Only three directional differences,Da, Db, and Dc as shown.................. [:=> 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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used for feature extraction has motivated us to investigate the effectiveness of using combination
of multiple wavelets for the textural analysis of palmprint. .................. [:=> 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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ions. Because these blocks are overlapping, for each 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-o..................[:=> 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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d 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 original noiseless image from the statistics of.................. [:=> 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.pres..................[:=> 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 Thank.................. [:=> Show Contents <=:] |

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