Title :
Improving frequency domain super-resolution via undersampling model
Author :
Prendergast, Ryan S. ; Nguyen, Truong Q.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA
Abstract :
The super-resolution problem is considered using a mean-squared error minimizing solution of a generalized undersampling model in this non-iterative frequency domain approach. While previous frequency domain approaches have been based on a bandlimited image model, this approach uses a non-bandlimited stationary spectral model. This allows improved reconstruction of certain image features. The model and algorithm are presented along with an example
Keywords :
frequency-domain analysis; image reconstruction; image resolution; mean square error methods; sampling methods; bandlimited image model; frequency domain super-resolution; image features reconstruction; mean-squared error minimizing solution; nonbandlimited stationary spectral model; noniterative frequency domain approach; undersampling model; Computer errors; Electronic mail; Frequency domain analysis; Image reconstruction; Image resolution; Image sampling; Large scale integration; Layout; Signal resolution; Spatial resolution;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Conference_Location :
Genova
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1529885
