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## matlab code for image denoising using contourlet transformPosted by: Created at: Thursday 19th of March 2015 07:48:27 AM Last Edited Or Replied at :Friday 20th of March 2015 12:59:14 AM | |||

matlab cod..................[:=> 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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ate-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 multiresolution analysis. All these methods rely on some explicit or implicit assumptions about 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_sa.................. [:=> Show Contents <=:] | |||

## STEGANOGRAPHY IN MATLAB USING CONTOURLET TRANSFORMPosted by: seminarsense Created at: Tuesday 16th of November 2010 09:34:55 AM Last Edited Or Replied at :Wednesday 26th of March 2014 11:26:54 AM | contourlet transform ,
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xistence of it is: modifying the cover medium changes its statistical properties, so eavesdroppers
can detect the distortions in the resulting stego mediumâ€™s statistical properties. The process of
finding these distortions is called statistical steganalysis.. Three different aspects in information-hiding systems contend with each other: capacity, security, and robustness. Capacity refers to the amount of information that can be hidden in the cover medium, security to an eavesdropperâ€™s inability to detect hidden information, and robustness to the amount of modification the stego medium c.................. [:=> 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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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 its reliability, uniqueness and the ever in-creasing demand of security. Common modalities bein.................. [:=> 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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se, the collaborative filtering reveals even the finest details shared by grouped blocks and, at
the same time, it preserves the essential unique features of each individual block. The filtered
blocks are then returned to their original positions. 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 n..................[:=> 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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ocess. 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 algorithm can also be incorporated in the
proposed fractal joint denoising and resizing scheme in order to reduce some of the artifacts and
enhance the visual qua..................[:=> 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.presenrtatio..................[:=> 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 ..................[:=> Show Contents <=:] |

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