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NIPS
2003
11 years 6 months ago
A Sampled Texture Prior for Image Super-Resolution
Super-resolution aims to produce a high-resolution image from a set of one or more low-resolution images by recovering or inventing plausible high-frequency image content. Typical...
Lyndsey C. Pickup, Stephen J. Roberts, Andrew Ziss...
CRV
2009
IEEE
183views Robotics» more  CRV 2009»
11 years 8 months ago
Bayesian Tracking of Linear Structures in Aerial Images
The interpretation of aerial images is difficult, especially for low-resolution images. Although solutions have been worked on for many years, performance of these systems is sti...
Rui Gao, Walter F. Bischof
ICIAR
2010
Springer
11 years 10 months ago
Face Detection in Low-Resolution Color Images
In low-resolution images, people at large distance appear very small and we may be interested in detecting the subject’s face for recognition or analysis. However, recent face de...
Jun Zheng, Geovany A. Ramírez, Olac Fuentes
ICMCS
2008
IEEE
147views Multimedia» more  ICMCS 2008»
11 years 11 months ago
Super-resolution for low quality thumbnail images
This paper proposes a single-image super-resolution scheme for enlarging low quality thumbnail images widely distributed on the web, which are often generated by downsampling plus...
Zhiwei Xiong, Xiaoyan Sun, Feng Wu
ICIP
2003
IEEE
12 years 6 months ago
EM-based simultaneous registration, restoration, and interpolation of super-resolved images
We present a maximum likelihood (Ml) solution to the problem of obtaining high-resolution images from sequences of noisy, blurred, and low-resolution images. In our formulation, t...
Nathan A. Woods, Nikolas P. Galatsanos, Aggelos K....
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