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ICASSP
2011
IEEE
12 years 11 months ago
Dual constrained TV-based regularization
Algorithms based on the minimization of the Total Variation are prevalent in computer vision. They are used in a variety of applications such as image denoising, compressive sensi...
Camille Couprie, Hugues Talbot, Jean-Christophe Pe...
CCIW
2011
Springer
12 years 11 months ago
On the Application of Structured Sparse Model Selection to JPEG Compressed Images
The representation model that considers an image as a sparse linear combination of few atoms of a predefined or learned dictionary has received considerable attention in recent ye...
Giovanni Maria Farinella, Sebastiano Battiato
ACCV
2009
Springer
13 years 11 months ago
Image Enhancement of Low-Light Scenes with Near-Infrared Flash Images
Abstract. We present a novel technique for enhancing an image captured in low light by using near-infrared flash images. The main idea is to combine a color image with near-infrar...
Sosuke Matsui, Takahiro Okabe, Mihoko Shimano, Yoi...
CVPR
2009
IEEE
1372views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Blind motion deblurring from a single image using sparse approximation
Restoring a clear image from a single motion-blurred image due to camera shake has long been a challenging problem in digital imaging. Existing blind deblurring techniques eithe...
Jian-Feng Cai (National University of Singapore), ...
ISBI
2004
IEEE
14 years 8 months ago
Fast Multiresolution Photon-Limited Image Reconstruction
The techniques described in this paper allow multiscale photon-limited image reconstruction methods to be implemented with significantly less computational complexity than previou...
Rebecca Willett, Robert Nowak