JSCIC
2010
12 years 11 months ago
2010
Abstract This paper considers two nonlocal regularizations for image recovery, which exploit the spatial interactions in images. We get superior results using preprocessed data as ...
PR
2011
12 years 12 months ago
2011
Non-blind motion deblurring problems are highly ill-posed and so it is quite difficult to find the original sharp and clean image. To handle ill-posedness of the motion deblurrin...
AMC
2011
13 years 2 days ago
2011
In this article we present the first results on domain decomposition methods for nonlocal operators. We present a nonlocal variational formulation for these operators and establi...
IJCV
2010
13 years 3 months ago
2010
Abstract We review the evolution of the nonparametric regression modeling in imaging from the local Nadaraya-Watson kernel estimate to the nonlocal means and further to transform-d...
TIP
2008
13 years 5 months ago
2008
The present paper contributes two novel techniques in the context of image restoration by nonlocal filtering. Firstly, we introduce an efficient implementation of the nonlocal mean...
ISBI
2007
IEEE
13 years 11 months ago
2007
IEEE
Image model plays a critical role in recovering diagnosis-relevant information from noisy observation data. Unlike conventional denoising techniques based on local models, a patch...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
We present local and nonlocal algorithms for video denoising based on discrete regularization on graphs. The main difference between video and image denoising is the temporal redu...
SCALESPACE
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. We wish to recover an image corrupted by blur and Gaussian or impulse noise, in a variational framework. We use two data-fidelity terms depending on the noise, and sever...
CVPR
2010
IEEE
13 years 11 months ago
2010
IEEE
State-of-the-art motion estimation algorithms suffer from three major problems: Poorly textured regions, occlusions and small scale image structures. Based on the Gestalt principle...