A new robust method for two-dimensional inverse filtering
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Lim_A new robust.pdf
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Author(s)
Lim, Jae S.
Fuller, Megan Marie
Date Issued
March 2015
Journal
Proceedings of SPIE--the International Society for Optical Engineering
Publisher
SPIE
Citation
Fuller, Megan M., and Jae S. Lim. “A New Robust Method for Two-Dimensional Inverse Filtering.” Edited by Amir Said, Onur G. Guleryuz, and Robert L. Stevenson. Visual Information Processing and Communication VI (March 4, 2015). © 2015 Society of Photo-Optical Instrumentation Engineers (SPIE)
Version
Final published version
Abstract
In this paper, we present a novel method for inverse filtering a two dimensional (2-D) signal using phase-based processing techniques. A 2-D sequence can be represented by a sufficient number of samples of the phase of its Fourier transform and its region of support. This is exploited to perform deconvolution. We examine the effects of additive noise and incomplete knowledge of the point spread function on the performance of this deconvolution method and compare it with other 2-D deconvolution methods. The problem of finding the region of support will also be briefly addressed. Finally, an application example will be presented.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1117/12.2078070
