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» Fractal-wavelet image denoising
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ICIP
2009
IEEE
14 years 11 months ago
Weighted Average Denoising With Sparse Orthonormal Transforms
Sparse Orthonormal Transforms (SOT) has recently been proposed as a data compression method that can achieve sparser representations in transform domain. Given initial conditions,...
SMI
2006
IEEE
147views Image Analysis» more  SMI 2006»
14 years 3 months ago
Smoothing by Example: Mesh Denoising by Averaging with Similarity-Based Weights
In this paper, we propose a new and powerful shape denoising technique for processing surfaces approximated by triangle meshes and soups. Our approach is inspired by recent non-lo...
Shin Yoshizawa, Alexander G. Belyaev, Hans-Peter S...
ICPR
2008
IEEE
14 years 11 months ago
An adaptive Monte Carlo approach to nonlinear image denoising
This paper introduces a novel stochastic approach to image denoising using an adaptive Monte Carlo scheme. Random samples are generated from the image field using a spatially-adap...
Alexander Wong, Akshaya Kumar Mishra, Paul W. Fieg...
ICIP
2010
IEEE
13 years 7 months ago
A no-reference image content metric and its application to denoising
A no-reference image metric based on the singular value decomposition of local image gradients is proposed in this paper. This metric provides a quantitative measure of true image...
Xiang Zhu, Peyman Milanfar
PR
2007
136views more  PR 2007»
13 years 9 months ago
Image denoising with complex ridgelets
In this paper, we propose a novel image denoising method by incorporating the dual-tree complex wavelets into the ordinary ridgelet transform. The approximate shift invariant prop...
Guangyi Chen, Balázs Kégl