Title :
Multidimensional Generalized Sampling Theorem for wavelet Based Image Superresolution
Author :
Ahuja, N.A. ; Bose, N.K.
Author_Institution :
Pennsylvania State Univ., University Park, PA, USA
Abstract :
The multidimensional generalized sampling theorem (GST) developed here provides a theoretical framework for wavelet based image superresolution, a topic of interest to the signal and image processing community during the last few years.
Keywords :
image resolution; image sampling; multidimensional signal processing; wavelet transforms; GST; multidimensional generalized sampling theorem; wavelet based image superresolution; Filter bank; Image resolution; Image sampling; Multidimensional signal processing; Multidimensional systems; Nonlinear filters; Sampling methods; Signal processing; Signal resolution; Signal sampling; Image sampling; image restoration; wave-let transform;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.312612
