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## 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 ,
Collaborative,
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Transform Domain ,
Sparse,
Denoising ,
Image,
image denoising using wavelet thresholding matlab code ,
image denoisingby sparse 3d transform domain collaborative ltering,
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wavelet thresholding image denoising,
wavelet shrinking algorithm for image denoising ,
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e experimental results demonstrate that this computationally scalable algorithm achieves
state-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 .................. [:=> 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 ,
proposed simple edge preserving denoising technique,
coding for low cost vlsi implementation for efficient removal of impulse noise detection ,
an efficient denoising architecture for removal of impulse noise in images,
ppt on low cost vlsi implementation of noise remotion ,
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image denoising methods with vlsi circuits,
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r(NID) for switching median filter. NID used the minimum absolutevalue of four convolutions which
are obtained by using 1-D Laplacian operators to detect noisy pixels.A method named as differential
rank impulse detector (DRID) is presented . The impulse detector of DRID is based on a comparison
of signal samples within a narrow rank window by both rank and absolute value. Luo proposed a
method which can efficiently remove the impulse noise (ERIN) based on simplefuzzy impulse detection
technique. An alpha-trimmed mean based method (ATMBM) was presented . It used the alpha trimmedmean
in impul..................[:=> 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 ,
matlab code for counterlet transform,
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t filter bankEmbedding and extraction of data in Contourlet domainThe structure of a steganography scheme in contourlet domain is as shown in figure. An image is decomposed with a one level contourlet transform. Then the embedding method determines the regions of the subbands in which the data can be embedded. It also determines higher contourlet coefficients in these regions that can be used for embedding.The data is embedded in to the cover image using proper algorithm.Then inverse Contourlet Decomposition is done to create the stego image. At the .................. [:=> 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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in 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. Mor..................[:=> 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 ,
Collaborative,
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Transform Domain ,
Sparse,
Denoising ,
Image,
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ained 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-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 diff.................. [:=> 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 ,
DENOISING,
IMAGE ,
FRACTAL,
SIMULTANEOUS ,
how to get seminar report on image denoising,
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e 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 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 s..................[:=> 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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semi..................[:=> 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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