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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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## 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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nsequently, 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 redundant information. The discrete wavelet transform (DWT) requires less space utilising the space-saving co.................. [:=> 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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with the highest or lowest luminance. In otherwords, a pixel whose value is MINinW or MAXinW might be identified as a noisy pixel even if it is not corrupted. To overcome this drawback, we add another condition to reduce the possibility of misdetection. If pi,j is a noise-free pixel and the current mask has high spatial correlation, f i,j should be close to fˆi,j and |f i,j _ fˆi,j|is small. That is to say,pi,j might be a noise-free pixel but the pixel value is MINinW orMAXinW if |f i,j _ fˆi,j| is small. We measure and |f i,j _ fˆi,j| and compare it with a threshold to determine whe.................. [:=> 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 need..................[:=> 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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information and has been analyzed for dis-criminating features like principal lines. The results
reported where wavelet transform has been used for feature extraction has motivated us to
investigate the effectiveness of using combination of multiple wavelets for the textural analysis of
palmpri..................[:=> 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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tate-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_s.................. [:=> 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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AL IMAGE DENOISING AND INTERPOLATION M. Ghazel R. K. Ward 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.................. [:=> 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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