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curvelet transform for image denoising


Posted 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
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seminars report..................[:=> Show Contents <=:]



WAVELET SIGNAL AND IMAGE DENOISING


Posted 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 , WAVELET, image analysis in matlab , signal processing in matlab, matlab wavelets , signal denoising, data image processing , matlab image analysis, image analysis matlab , matlab wavelet, wavelet image denoising , signal analysis, matlab signal processing , image processing matlab, wavelet , SIGNAL, IMAGE , DENOISING, image denoising full project download , welvet transform for eeg signal, image denoising , project report on signal denoising, denoising of image , project topics on denoising, wavelet thresholding image denoising , image denoising using wavelet thresholding,
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 NOISE


Posted 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
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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 System


Posted 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
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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 Filtering


Posted 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
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Abstract

We 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 INTERPOLATION


Posted 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 , DENOISING, IMAGE , FRACTAL, SIMULTANEOUS , how to get seminar report on image denoising,
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 denoising


Posted 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, applications of image denoisingcurvelets , curvelet transform tutorial, application of image processing , the curvelet transform for image denoising, curvelets , image, transform , curvelet, curvelet transform based image fusion for medical application ppt , what is curvelet transform, curvelet transform ppt , ridgelet transform ppt, seminar project curvelet , image denoising ppt using curvelet, curvelet transform for image denoising , curvelet transform in image processing ppt, image denoising using curvelet transform ppt , curvelet transform for image denoising ppt, image denoising using nlm algo , seminar topics based on real time applications of curvelet transform, seminar report on image denoising by curvlet transform , seminar on image denoising with thresholding methods with ppt, ppt curvelet , image denoising using curvelet transform,
seminars report is needed along with pp..................[:=> Show Contents <=:]



study on huber fractal image compression


Posted 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
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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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