Paper Info
Title
Non-Bandlimited Resampling Of Images
Abstract
The resampling of discrete-time signals where the underlying analog signal is non-bandlimited is considered in this paper. We extend the generalized sampling theory developed based on the principle of consistency to resampling. Realizing the resampling system has both discrete input and output, the performance of the resampling filter is considered in l(2) instead of the traditionally used L-2. We show that the performance of the resampling system depends on the resampling rate instead of the actual interpolating kernels. The theory can be applied to image processing applications like zooming to provide better response to high frequency components. Since the resampling process is discrete in nature, our filter designed to optimize resampling in l(2) is shown to outperform other techniques designed in L-2.
Year
DOI
Venue
2006
10.1109/ICME.2006.262591
2006 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO - ICME 2006, VOLS 1-5, PROCEEDINGS
Keywords
Field
DocType
signal processing,frequency,kernel,image processing,image reconstruction,interpolation,high frequency,discrete time,vectors,analog signal,discrete time signal,design optimization,filter design
Pattern recognition,Discrete-time signal,Bandlimiting,Computer science,Interpolation,Image processing,Input/output,Artificial intelligence,Analog signal,Auxiliary particle filter,Resampling
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Beilei Huang100.68
Edmund Ming-Kit Lai212058.89