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Proceedings Paper

A new robust method for two-dimensional inverse filtering
Author(s): Megan M. Fuller; Jae S. Lim
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Paper 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 brie y addressed. Finally, an application example will be presented.

Paper Details

Date Published: 4 March 2015
PDF: 10 pages
Proc. SPIE 9410, Visual Information Processing and Communication VI, 941002 (4 March 2015); doi: 10.1117/12.2078070
Show Author Affiliations
Megan M. Fuller, Massachusetts Institute of Technology (United States)
Jae S. Lim, Massachusetts Institute of Technology (United States)


Published in SPIE Proceedings Vol. 9410:
Visual Information Processing and Communication VI
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

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