23 search results - page 1 / 5 » Locality preserving constraints for super-resolution with ne... |
CVPR
2004
IEEE
14 years 6 months ago
2004
IEEE
In this paper, we propose a novel method for solving single-image super-resolution problems. Given a low-resolution image as input, we recover its highresolution counterpart using...
ICIP
2006
IEEE
14 years 6 months ago
2006
IEEE
Super-resolution is an important but difficult problem in image/video processing. If a video sequence or some training set other than the given low-resolution image is available, ...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
In this paper, we propose a new face hallucination framework based on image patches, which integrates two novel statistical super-resolution models. Considering that image patches...
ICIP
2009
IEEE
13 years 2 months ago
2009
IEEE
In this paper, we revisit the manifold assumption which has been widely adopted in the learning-based image superresolution. The assumption states that point-pairs from the high-r...
PKDD
2005
Springer
13 years 10 months ago
2005
Springer
Locally Linear Embedding (LLE) has recently been proposed as a method for dimensional reduction of high-dimensional nonlinear data sets. In LLE each data point is reconstructed fro...