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...
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...
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...
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...
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....