Sciweavers

ECCV
2010
Springer
13 years 8 months ago
Learning PDEs for Image Restoration via Optimal Control
Partial differential equations (PDEs) have been successfully applied to many computer vision and image processing problems. However, designing PDEs requires high mathematical skill...
ICIP
1994
IEEE
13 years 10 months ago
Total Variation Based Image Restoration with Free Local Constraints
The two main plagues of image restoration are oscillations and smoothing. Traditional image restoration techniques prevent parasitic oscillations by resorting to smooth regulariza...
Leonid I. Rudin, Stanley Osher
ICIP
2003
IEEE
13 years 11 months ago
Perceptual regularization functionals for natural image restoration
Regularization constraints are necessary in inverse problems such as image restoration, optical flow computation or shape from shading to avoid the singularities in the solution....
Juan Gutierrez, Jesus Malo, Francesc J. Ferri
ICIP
2005
IEEE
13 years 11 months ago
A regularization framework for joint blur estimation and super-resolution of video sequences
In traditional digital image restoration, the blurring process of the optic is assumed known. Many previous research efforts have been trying to reconstruct the degraded image or ...
Hu He, Lisimachos P. Kondi
CVPR
2010
IEEE
14 years 2 months ago
A Content-Aware Image Prior
In image restoration tasks, a heavy-tailed gradient distribution of natural images has been extensively exploited as an image prior. Most image restoration algorithms impose a spa...
Taeg Sang Cho, Neel Joshi, Larry Zitnick, Sing Bin...
ICIP
2009
IEEE
14 years 6 months ago
Multiframe Image Restoration In The Presence Of Noisy Blur Kernel
We wish to recover an original image u from several blurry-noisy versions fk, called frames. We assume a more severe degradation model, in which the image u has been blurred by a ...
ICIP
2006
IEEE
14 years 7 months ago
Deconvolution Method for View Interpolation Using Multiple Images of Circular Camera Array
This paper deals with a view interpolation problem using multiple images captured with a circular camera array. A novel deconvolution method for reconstructing a virtual image at ...
Akira Kubota, Kazuya Kodama, Yoshinori Hatori
ECCV
2006
Springer
14 years 7 months ago
Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement
Image restoration is a keen problem of low level vision. In this paper, we propose a novel - assumption-free on the noise model - technique based on random walks for image enhancem...
Noura Azzabou, Nikos Paragios, Frederic Guichard
CVPR
2008
IEEE
14 years 7 months ago
Graph-shifts: Natural image labeling by dynamic hierarchical computing
In this paper, we present a new approach for image labeling based on the recently introduced graph-shifts algorithm. Graph-shifts is an energy minimization algorithm that does lab...
Jason J. Corso, Alan L. Yuille, Zhuowen Tu
ICCV
2009
IEEE
1318views Computer Vision» more  ICCV 2009»
14 years 10 months ago
Non-Local Sparse Models for Image Restoration
We propose in this paper to unify two different ap- proaches to image restoration: On the one hand, learning a basis set (dictionary) adapted to sparse signal descriptions has p...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...