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» Fractal-wavelet image denoising
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TIP
2008
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13 years 9 months ago
Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures
We develop a statistical model to describe the spatially varying behavior of local neighborhoods of coefficients in a multiscale image representation. Neighborhoods are modeled as ...
David K. Hammond, Eero P. Simoncelli
CVPR
2005
IEEE
14 years 12 months ago
A Cross-Validatory Statistical Approach to Scale Selection for Image Denoising by Nonlinear Diffusion
Scale-spaces induced by diffusion processes play an important role in many computer vision tasks. Automatically selecting the most appropriate scale for a particular problem is a ...
George Papandreou, Petros Maragos
ICIP
2000
IEEE
14 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...
IBPRIA
2007
Springer
14 years 4 months ago
Tracking the Left Ventricle in Ultrasound Images Based on Total Variation Denoising
Abstract. Tracking the Left Ventricle (LV) in ultrasound sequences remains a challenge due to speckle noise, low SNR and lack of contrast. Therefore, it is usually difficult to obt...
Jacinto C. Nascimento, João M. Sanches, Jor...
IPPS
2006
IEEE
14 years 4 months ago
Simulation of a hybrid model for image denoising
We propose a new model for image denoising which is a hybrid of the total variation model and the Laplacian mean-curvature model. An efficient numerical procedure to compute the h...
Ricolindo Cariño, Ioana Banicescu, H. Lim, ...