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» Spatial Adaptive Wavelet Thresholding for Image Denoising
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JEI
2008
100views more  JEI 2008»
14 years 9 months ago
Context adaptive image denoising through modeling of curvelet domain statistics
We perform a statistical analysis of curvelet coefficients, distinguishing between two classes of coefficients: those that contain a significant noise-free component, which we call...
Linda Tessens, Aleksandra Pizurica, Alin Alecu, Ad...
ICIP
2002
IEEE
15 years 11 months ago
Applications of multiwavelet techniques to image denoising
The developments in wavelet theory have given rise to the wavelet thresholding method, for extracting a signal from noisy data [1,2]. Multiwavelets, wavelets with several scaling ...
Aysin Ertüzün, Erdem Bala
ICIP
2009
IEEE
15 years 10 months ago
Image Deconvolution By Stein Block Thresholding
In this paper, we propose a fast image deconvolution algorithm that combines adaptive block thresholding and Vaguelet-Wavelet Decomposition. The approach consists in first denoisi...
ICIP
2000
IEEE
15 years 11 months ago
A Wavelet-Based Image Denoising Technique Using Spatial Priors
We propose a new wavelet-based method for im age denoising that applies the Bayesian framework, using prior knowledge about the spatial clustering of the wavelet coefficients. Loc...
Aleksandra Pizurica, Wilfried Philips, Ignace Lema...
72
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MICCAI
2003
Springer
15 years 10 months ago
De-noising SPECT/PET Images Using Cross-Scale Regularization
De-noising of SPECT and PET images is a challenging task due to the inherent low signal-to-noise ratio of acquired data. Wavelet based multiscale denoising methods typically apply ...
Yinpeng Jin, Elsa D. Angelini, Peter D. Esser, And...