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Proceedings Paper

Parallel Optical Pyramidal Image Processing
Author(s): G. Eichmann; A. Kostrzewski; B. Ha; D. H. Kim; Y. Li
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Paper Abstract

Pyramidal processing is a form of multiresolution image analysis in which a primary image is decomposed into a set of different resolution image copies. Pyramidal processing aims to extract and interpret significant features of an image appearing at different resolutions. Digital pyramidal image processing, because of the large number of convolution type operations, is time-consuming. On the other hand, optical pyramidal processors, because of their ease in performing convolution operation, are preferable in real-time image understanding applications. Two methods of optical pyramidal image generation, a Fourier spectrum filtering based, and a local averaging using 2D lens array, are presented. Preliminary experimental results for optical Gaussian, Laplacian and other fivadtree pyramidal image processing are shown. Experimental results, using commercial lifiuid crystal TVs, for a real-time pyramid image generation are presented.

Paper Details

Date Published: 18 July 1988
PDF: 7 pages
Proc. SPIE 0939, Hybrid Image and Signal Processing, (18 July 1988); doi: 10.1117/12.947053
Show Author Affiliations
G. Eichmann, The City College of The City University of New York (United States)
A. Kostrzewski, The City College of The City University of New York (United States)
B. Ha, The City College of The City University of New York (United States)
D. H. Kim, The City College of The City University of New York (United States)
Y. Li, The City College of The City University of New York (United States)


Published in SPIE Proceedings Vol. 0939:
Hybrid Image and Signal Processing
David P. Casasent; Andrew G. Tescher, Editor(s)

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