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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..................[:=> 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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r 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 extract global information from a signal called approximations. Whereas at low scales, we extract ¯ne information from a signal called details. Signals are usually band-limited, which is equivalent to having ¯nite energy, and therefore we need to use just a constrained interval of scales. However, the continuous wavelet transform provides us with lots of redu.................. [:=> 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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e on noise-free pixels, an efficient switching strategy has been proposed in the literature . In general, the switching median filter consists of twosteps: 1) impulse detection and 2) noise filtering. It locates thenoisy pixels with an impulse detector, and then filters themrather than the whole pixels of an image to avoid the damageon noise-free pixels. Generally, the denoising methods forimpulse noise suppression can be classified into two categories:lower-complexity techniques and higher-complexity techniques . The former uses a fixed-size local window and requires a few lin.................. [:=> 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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the future it should have the traits like unique-ness, accuracy, richness, ease of acquisition,
reliability and above all user acceptance. Palm print based personal identi-fication is a new
biometric modality which is getting wide acceptance and has all the necessary traits to make it a
part of our daily life. This paper investigates the use of palm print for personal identification
using combination of dif-ferent wavelets. Palmprint not only has the unique informa-tion available
as on the fingerprint but has far more amount of details in terms of principal lines, wrinkles and
creases. Moreove..................[:=> 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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AbstractWe propose a novel image denoising strategy based on an enhanced sparse representation in transform domain. The enhancement of the sparsity is achieved by grouping similar 2-D image fragments (e.g., blocks) into 3-D data arrays which we call “groups.” Collaborative filtering is a special procedure developed to deal with these 3-D groups. We realize it using the three successive steps: 3-D transformation of a group, shrinkage of the transform spectrum, and inverse 3-D transformation. The result is a 3-D estimate that consists of the jointly filtered grouped ima.................. [:=> 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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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 algorithm can also be
incorporated in t..................[:=> 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 pp..................[:=> 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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