Title :
Filter-Bank Based Super-Resolution for Rotated and Blurry Undersampled Images
Author :
Dung T. Vo;Ryan S. Prendergast;Truong Q. Nguyen
Author_Institution :
Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, California 92093. Email: d3vo@ucsd.edu
Abstract :
The ill-posed problem of image super-resolution (SR) is considered in the frequency domain using a filter bank approach. A low resolution (LR) imaging system is modeled in this paper using different fractional translation, rotation and blurs for each LR image. Synthesis filters are then found which provide a minimal time averaged mean squared error (TAMSE) reconstruction under a wide sense stationary (WSS) signal assumption. Presented simulations for many kinds of images demonstrate the effectiveness of the algorithm.
Keywords :
"Image resolution","Strontium","Iterative algorithms","Signal resolution","Frequency domain analysis","Filter bank","Image reconstruction","Computational efficiency","Signal synthesis","Computational modeling"
Conference_Titel :
Signals, Systems and Computers, 2006. ACSSC ´06. Fortieth Asilomar Conference on
Print_ISBN :
1-4244-0784-2
Electronic_ISBN :
1058-6393
DOI :
10.1109/ACSSC.2006.355097
