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CVPR
2012
IEEE
9 years 3 months ago
Probabilistic tensor voting for robust perceptual grouping
We address the problem of unsupervised segmentation and grouping in 2D and 3D space, where samples are corrupted by noise, and in the presence of outliers. The problem has attract...
Dian Gong, Gérard G. Medioni
EMMCVPR
2011
Springer
10 years 1 months ago
Curvature Regularity for Multi-label Problems - Standard and Customized Linear Programming
Abstract. We follow recent work by Schoenemann et al. [25] for expressing curvature regularity as a linear program. While the original formulation focused on binary segmentation, w...
Thomas Schoenemann, Yubin Kuang, Fredrik Kahl
JMLR
2010
367views more  JMLR 2010»
10 years 8 months ago
Locally Linear Denoising on Image Manifolds
We study the problem of image denoising where images are assumed to be samples from low dimensional (sub)manifolds. We propose the algorithm of locally linear denoising. The algor...
Dian Gong, Fei Sha, Gérard G. Medioni
JDCTA
2010
203views more  JDCTA 2010»
10 years 8 months ago
Preprocessing Method for NaXi Pictographs Character Recognition Using Wavelet Transform
Preprocessing, a major component of Character Recognition System, has direct effect on the recognition system by its performance. Using wavelet transform, this paper mainly focuse...
Hai Guo, Jing-ying Zhao, Xiao-niu Li
JDCTA
2010
169views more  JDCTA 2010»
10 years 8 months ago
A Synchronization Algorithm of MRI Denoising and Contrast Enhancement Based on PM-CLAHE Model
On clinical applications, many magnetic resonance (MR) Images obtained directly by the instruments are not satisfied by doctors. For example, there are some noises and poor contra...
Di Jia, Fangfang Han, Jinzhu Yang, Yifei Zhang, Da...
TIP
2011
170views more  TIP 2011»
10 years 8 months ago
Image Denoising in Mixed Poisson-Gaussian Noise
—We propose a general methodology (PURE-LET) to design and optimize a wide class of transform-domain thresholding algorithms for denoising images corrupted by mixed Poisson–Gau...
Florian Luisier, Thierry Blu, Michael Unser
JRTIP
2011
196views more  JRTIP 2011»
10 years 8 months ago
Real time ultrasound image denoising
Abstract Image denoising is the process of removing the noise that perturbs image analysis methods. In some applications like segmentation or registration, denoising is intended to...
Fernanda Palhano Xavier de Fontes, Guillermo Andra...
CORR
2011
Springer
282views Education» more  CORR 2011»
10 years 8 months ago
Fast Linearized Bregman Iteration for Compressive Sensing and Sparse Denoising
We propose and analyze an extremely fast, efficient and simple method for solving the problem: min{ u 1 :Au=f,u∈Rn }. This method was first described in [1], with more details i...
Stanley Osher, Yu Mao, Bin Dong, Wotao Yin
CVPR
2011
IEEE
10 years 10 months ago
Natural Image Denoising: Optimality and Inherent Bounds
The goal of natural image denoising is to estimate a clean version of a given noisy image, utilizing prior knowledge on the statistics of natural images. The problem has been stud...
Anat Levin, Boaz Nadler
ICIP
2009
IEEE
10 years 11 months ago
Best basis denoising with non-stationary wavelet packets
This article introduces a best basis search algorithm in a nonstationary (NS) wavelet packets dictionary. It computes an optimized labeled quad-tree that indexes the filters used ...
Nizar Ouarti, Gabriel Peyré
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