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ICIAR
2007
Springer
13 years 10 months ago
Solving the Inverse Problem of Image Zooming Using "Self-Examples"
Abstract. In this paper we present a novel single-frame image zooming technique based on so-called “self-examples”. Our method combines the ideas of fractal-based image zooming...
Mehran Ebrahimi, Edward R. Vrscay
ICIAR
2009
Springer
13 years 11 months ago
The Use of Residuals in Image Denoising
Abstract. State-of-the-art image denoising algorithms attempt to recover natural image signals from their noisy observations, such that the statistics of the denoised image follow ...
Dominique Brunet, Edward R. Vrscay, Zhou Wang

Source Code
1919views
14 years 4 months ago
tvreg: Variational Imaging Methods for Denoising, Deconvolution, Inpainting, and Segmentation
TV-based image restoration with options for deconvolution, inpainting, and different noise models. Chan-Vese segmentation also included. Usable from C, C++, or MATLAB.
ICIP
2005
IEEE
14 years 6 months ago
Signal estimation using multiple-wavelet representations and Gaussian models
Signal processing using over-complete representations has been an active research field in recent years. In this article, we study the following two related problems: (1) given tw...
Guang Deng

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VincentAuvrayResearch Scientist, PhD
Medisys Philips Heathcare
VincentAuvray
I graduated both from the Ecole Centrale Paris and the RWTH Aachen (Elektrotechnik), following the TIME double-diploma program. I then worked for one year by General Electric Heath...
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
14 years 11 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
CVPR
2009
IEEE
2160views Computer Vision» more  CVPR 2009»
14 years 11 months ago
Image Deblurring and Denoising using Color Priors
Image blur and noise are difficult to avoid in many situations and can often ruin a photograph. We present a novel image deconvolution algorithm that deblurs and denoises an ima...
C. Lawrence Zitnick, David J. Kriegman, Neel Joshi...