DocumentCode :
1125350
Title :
Frequency Domain Analysis and Synthesis of Image Pyramid Generating Kernels
Author :
Meer, Peter ; Baugher, Ernest S. ; Rosenfeld, Azriel
Author_Institution :
Center for Automation Research, University of Maryland, College Park, MD 20742.
Issue :
4
fYear :
1987
fDate :
7/1/1987 12:00:00 AM
Firstpage :
512
Lastpage :
522
Abstract :
Construction of image pyramids is described as a two-di-mensional decimation process. Frequently employed generating kernels are compared to the optimal kernel that assures minimal information loss after the resolution reduction, i.e., the one corresponding to an ideal low pass filter. Physically realizable, optimal generating kernels are presented. The amount of computation required for generation of the image pyramid can be reduced significantly by employing half-band filters as components of the optimal kernel. Image pyramids generated by the optimal kernel show a better command of details than the ones generated by a simple 4 × 4 averaging, or a computationally equivalent kernel.
Keywords :
Computer vision; Data structures; Frequency domain analysis; Image generation; Image sampling; Interpolation; Kernel; Lattices; Low pass filters; Sampling methods; Fast filter transforms; image pyramids; two-dimensional decimation and interpolation processes;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.1987.4767939
Filename :
4767939
Link To Document :
بازگشت