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Proceedings Paper

Restoration Of Linear-Motion-Blurred Images Using A Joint Transform Processor
Author(s): Feng Cheng; Xin Xu; Shudong Wu; Francis T. S. Yu; Don A. Gregory
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Paper Abstract

Although joint Fourier transform processor is effective for the application to correlation operation, it can also be used as a generalized coherent image processor. In this paper we shall show that blurred photographic images due to linear motion can be restored with a joint transform processor. The major advantage of using the joint transform processor (JTP) for the image deblurring must be the avoidance of spatial filter synthesis. In other words, the deconvolution function for the image deblurring can be directly implemented at the input plane of a JTP, and the difficulty caused by the singularities of an inverse filter can be avoided. To generate a bipolar deconvolution function, we have encoded two sets of π phase shifted sinusoidal grating of the same spatial frequency. Computer simulation for restoration of linear-motion-blurred images are given to test the feasibility of the scheme.

Paper Details

Date Published: 5 February 1990
PDF: 12 pages
Proc. SPIE 1151, Optical Information Processing Systems and Architectures, (5 February 1990); doi: 10.1117/12.962236
Show Author Affiliations
Feng Cheng, The Pennsylvania State University (United States)
Xin Xu, The Pennsylvania State University (United States)
Shudong Wu, The Pennsylvania State University (United States)
Francis T. S. Yu, The Pennsylvania State University (United States)
Don A. Gregory, U.S.Army Missile Command (United States)

Published in SPIE Proceedings Vol. 1151:
Optical Information Processing Systems and Architectures
Bahram Javidi, Editor(s)

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