A method for simultaneously estimating the high-resolution frames and the corresponding motion field from a compressed low-resolution video sequence is presented. The algorithm in...
Rafael Molina, Aggelos K. Katsaggelos, Javier Mate...
Compressive sensing is the reconstruction of sparse images or signals from very few samples, by means of solving a tractable optimization problem. In the context of MRI, this can ...
This paper describes the core theories and enabling technologies developed for molecular imaging at the BMIT Group and the CMSP Center over the last 10 years, in the areas of dyna...
SynthesizedTextures represent continuous-tone images with a small set of vectors and color profiles. This representation is not only efficient in terms of compression ratio but al...
The use of fractals in computer graphics and vision in modeling unstructured images, and compressing images, is well known. However, the use of fractals for indexing images in con...