Title :
Fast Iterative Super-Resolution for Image Sequences
Author :
Bannore, Vivek ; Swierkowski, Leszek
Abstract :
Images are often degraded by undersampling and aliasing that occurs in many imaging systems. Super- resolution reconstructs a high-resolution image from a sequence of observed low-resolution images. This paper presents a mathematical justification of the IISR reconstruction algorithm formulated in [1] on intuitive grounds. It is then shown that by combining the IISR method with a regularized optimization approach to super-resolution, the reconstruction process can be improved. Numerical results for reconstruction are presented.
Keywords :
Application software; Australia; Degradation; High-resolution imaging; Image reconstruction; Image resolution; Image sequences; Iterative algorithms; Layout; Optimization methods;
Conference_Titel :
Digital Image Computing Techniques and Applications, 9th Biennial Conference of the Australian Pattern Recognition Society on
Conference_Location :
Glenelg, Australia
Print_ISBN :
0-7695-3067-2
DOI :
10.1109/DICTA.2007.4426809
