Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 - 10
of
24,337
Space-time adaptation for patch-based image sequence restoration
, 2006
"... Abstract—We present a novel space-time patch-based method for image sequence restoration. We propose an adaptive statistical estimation framework based on the local analysis of the bias-variance trade-off. At each pixel, the spacetime neighborhood is adapted to improve the performance of the propose ..."
Abstract
-
Cited by 26 (5 self)
- Add to MetaCart
Abstract—We present a novel space-time patch-based method for image sequence restoration. We propose an adaptive statistical estimation framework based on the local analysis of the bias-variance trade-off. At each pixel, the spacetime neighborhood is adapted to improve the performance
Image Sequence Restoration Using Gibbs Distributions
, 1995
"... This thesis addresses a number of issues concerned with the restoration of one type of image sequence, namely archived black and white motion pictures. These are often a valuable historical record, but because of the physical nature of the film they can suffer from a variety of degradations which re ..."
Abstract
-
Cited by 23 (0 self)
- Add to MetaCart
This thesis addresses a number of issues concerned with the restoration of one type of image sequence, namely archived black and white motion pictures. These are often a valuable historical record, but because of the physical nature of the film they can suffer from a variety of degradations which
Space-Time Adaptation for Patch-Based Image Sequence Restoration
"... Publication interne n˚1798 — Mai 2006 — 17 pages Abstract: We present a novel space-time patch-based method for image sequence restoration. We propose an adaptive statistical estimation framework based on the local analysis of the bias-variance trade-off. At each pixel, the space-time neighborhood i ..."
Abstract
- Add to MetaCart
Publication interne n˚1798 — Mai 2006 — 17 pages Abstract: We present a novel space-time patch-based method for image sequence restoration. We propose an adaptive statistical estimation framework based on the local analysis of the bias-variance trade-off. At each pixel, the space-time neighborhood
Adaptive Space-time Examplar-Based Method for Image Sequence Restoration
"... Abstract. We present a novel space-time exemplar-based method for image sequence restoration. We have designed a locally adaptive estimation framework which relies on the analysis of the bias-variance trade-off. It allows us to select on-line the best adapted filtering space-time neighborhood at eac ..."
Abstract
- Add to MetaCart
Abstract. We present a novel space-time exemplar-based method for image sequence restoration. We have designed a locally adaptive estimation framework which relies on the analysis of the bias-variance trade-off. It allows us to select on-line the best adapted filtering space-time neighborhood
CT Image Sequence Restoration Based on Sparse and Low-Rank Decomposition
, 2013
"... Blurry organ boundaries and soft tissue structures present a major challenge in biomedical image restoration. In this paper, we propose a low-rank decomposition-based method for computed tomography (CT) image sequence restoration, where the CT image sequence is decomposed into a sparse component and ..."
Abstract
- Add to MetaCart
Blurry organ boundaries and soft tissue structures present a major challenge in biomedical image restoration. In this paper, we propose a low-rank decomposition-based method for computed tomography (CT) image sequence restoration, where the CT image sequence is decomposed into a sparse component
Image Sequence Restoration: A PDE Based Coupled Method for Image Restoration and Motion Segmentation
- In Proceedings of the 5th European Conference on Computer Vision, volume II
, 1997
"... There is a strong need to automatically remove noise and degradations from noisy image sequences. Applications areas include Image surveillance, Forensic Image Processing, Digital video broadcasting, Digital Film Restoration, Virtual Studio, Medical Image Processing, Remote Sensing ... . Image seque ..."
Abstract
-
Cited by 10 (2 self)
- Add to MetaCart
There is a strong need to automatically remove noise and degradations from noisy image sequences. Applications areas include Image surveillance, Forensic Image Processing, Digital video broadcasting, Digital Film Restoration, Virtual Studio, Medical Image Processing, Remote Sensing ... . Image
Image Sequence Restoration: A PDE based coupled method for image restoration and motion segmentation
- In Proceedings of the 5th European Conference on Computer Vision, volume II
, 1997
"... : There is a strong need to automatically remove noise and degradations from noisy image sequences. Applications areas include Image surveillance, Forensic Image Processing, Digital video broadcasting, Digital Film Restoration, Virtual Studio, Medical Image Processing, Remote Sensing : : : . Image s ..."
Abstract
- Add to MetaCart
: There is a strong need to automatically remove noise and degradations from noisy image sequences. Applications areas include Image surveillance, Forensic Image Processing, Digital video broadcasting, Digital Film Restoration, Virtual Studio, Medical Image Processing, Remote Sensing : : : . Image
Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images.
- IEEE Trans. Pattern Anal. Mach. Intell.
, 1984
"... Abstract-We make an analogy between images and statistical mechanics systems. Pixel gray levels and the presence and orientation of edges are viewed as states of atoms or molecules in a lattice-like physical system. The assignment of an energy function in the physical system determines its Gibbs di ..."
Abstract
-
Cited by 5126 (1 self)
- Add to MetaCart
Abstract-We make an analogy between images and statistical mechanics systems. Pixel gray levels and the presence and orientation of edges are viewed as states of atoms or molecules in a lattice-like physical system. The assignment of an energy function in the physical system determines its Gibbs
Image Inpainting
, 2000
"... Inpainting, the technique of modifying an image in an undetectable form, is as ancient as art itself. The goals and applications of inpainting are numerous, from the restoration of damaged paintings and photographs to the removal/replacement of selected objects. In this paper, we introduce a novel a ..."
Abstract
-
Cited by 531 (25 self)
- Add to MetaCart
Inpainting, the technique of modifying an image in an undetectable form, is as ancient as art itself. The goals and applications of inpainting are numerous, from the restoration of damaged paintings and photographs to the removal/replacement of selected objects. In this paper, we introduce a novel
Representing Moving Images with Layers
, 1994
"... We describe a system for representing moving images with sets of overlapping layers. Each layer contains an intensity map that defines the additive values of each pixel, along with an alpha map that serves as a mask indicating the transparency. The layers are ordered in depth and they occlude each o ..."
Abstract
-
Cited by 542 (11 self)
- Add to MetaCart
other in accord with the rules of compositing. Velocity maps define how the layers are to be warped over time. The layered representation is more flexible than standard image transforms and can capture many important properties of natural image sequences. We describe some methods for decomposing image
Results 1 - 10
of
24,337
