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» Spatial Adaptive Wavelet Thresholding for Image Denoising
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ICIP
2002
IEEE
14 years 6 months ago
Satellite and aerial image deconvolution using an EM method with complex wavelets
In this paper, we present a new deconvolution method, able to deal with noninvertible blurring functions. To avoid noise amplification, a prior model of the image to be reconstruc...
André Jalobeanu, Josiane Zerubia, Má...
ICIP
2006
IEEE
14 years 6 months ago
Wavelet-Domain Soft-Thresholding for Non-Stationary Noise
This paper describes a new wavelet-based denoising algorithm based on a non-stationary noise assumption. Even though stationary noise models can simplify the development and imple...
Wan Yee Lo, Ivan W. Selesnick
JDCTA
2010
203views more  JDCTA 2010»
12 years 11 months ago
Preprocessing Method for NaXi Pictographs Character Recognition Using Wavelet Transform
Preprocessing, a major component of Character Recognition System, has direct effect on the recognition system by its performance. Using wavelet transform, this paper mainly focuse...
Hai Guo, Jing-ying Zhao, Xiao-niu Li
ICDAR
2003
IEEE
13 years 10 months ago
Wavelet Diffusion for Document Image Denoising
To distinguish image features from high level noises, we propose to exploit the spatial correlations between wavelet coefficients by replacing the thresholding process with a dif...
Lixin Fan, Liying Fan, Chew Lim Tan
BMCBI
2010
145views more  BMCBI 2010»
13 years 4 months ago
WaveletQuant, an improved quantification software based on wavelet signal threshold de-noising for labeled quantitative proteomi
Background: Quantitative proteomics technologies have been developed to comprehensively identify and quantify proteins in two or more complex samples. Quantitative proteomics base...
Fan Mo, Qun Mo, Yuanyuan Chen, David R. Goodlett, ...