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» An adaptive Monte Carlo approach to nonlinear image denoisin...
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ICIP
2007
IEEE
14 years 7 months ago
Image Denoising with Nonparametric Hidden Markov Trees
We develop a hierarchical, nonparametric statistical model for wavelet representations of natural images. Extending previous work on Gaussian scale mixtures, wavelet coefficients ...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
DAGM
2006
Springer
13 years 9 months ago
From Adaptive Averaging to Accelerated Nonlinear Diffusion Filtering
Weighted averaging filters and nonlinear partial differential equations (PDEs) are two popular concepts for discontinuity-preserving denoising. In this paper we investigate novel r...
Stephan Didas, Joachim Weickert
ICCV
2005
IEEE
13 years 11 months ago
Bayesian Body Localization Using Mixture of Nonlinear Shape Models
We present a 2D model-based approach to localizing human body in images viewed from arbitrary and unknown angles. The central component is a statistical shape representation of th...
Jiayong Zhang, Robert T. Collins, Yanxi Liu
IPAS
2008
13 years 8 months ago
Deblurring noisy radial-blurred images: spatially adaptive filtering approach
The deblurring of images corrupted by radial blur is studied. This type of blur appears in images acquired during any camera translation having a substantial component orthogonal ...
Giacomo Boracchi, Alessandro Foi, Vladimir Katkovn...
ICIP
2006
IEEE
14 years 7 months ago
Sure-Based Wavelet Thresholding Integrating Inter-Scale Dependencies
We propose here a new pointwise wavelet thresholding function that incorporates inter-scale dependencies. This non-linear function depends on a set of four linear parameters per s...
Florian Luisier, Thierry Blu, Michael Unser