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ACIVS
2006
Springer
14 years 3 months ago
A New Fuzzy-Based Wavelet Shrinkage Image Denoising Technique
This paper focuses on fuzzy image denoising techniques. In particular, we investigate the usage of fuzzy set theory in the domain of image enhancement using wavelet thresholding. W...
Stefan Schulte, Bruno Huysmans, Aleksandra Pizuric...
TIP
2008
205views more  TIP 2008»
13 years 9 months ago
Image Denoising Using Derotated Complex Wavelet Coefficients
A method for removing additive Gaussian noise from digital images is described. It is based on statistical modeling of the coefficients of a redundant, oriented, complex multiscale...
Mark Miller, Nick G. Kingsbury
SCALESPACE
2009
Springer
14 years 4 months ago
An Edge-Preserving Multilevel Method for Deblurring, Denoising, and Segmentation
We present a fast edge-preserving cascadic multilevel image restoration method for reducing blur and noise in contaminated images. The method also can be applied to segmentation. O...
Serena Morigi, Lothar Reichel, Fiorella Sgallari
BMCBI
2006
124views more  BMCBI 2006»
13 years 9 months ago
Network-based de-noising improves prediction from microarray data
Background: Prediction of human cell response to anti-cancer drugs (compounds) from microarray data is a challenging problem, due to the noise properties of microarrays as well as...
Tsuyoshi Kato, Yukio Murata, Koh Miura, Kiyoshi As...
CVPR
2010
IEEE
13 years 10 months ago
GPCA with denoising: A moments-based convex approach
This paper addresses the problem of segmenting a combination of linear subspaces and quadratic surfaces from sample data points corrupted by (not necessarily small) noise. Our mai...
Necmiye Ozay, Mario Sznaier, Constantino M. Lagoa,...