A new robust method for two-dimensional inverse filtering
Author(s)Lim, Jae S.; Fuller, Megan Marie
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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.
DepartmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Research Laboratory of Electronics
Proceedings of SPIE--the International Society for Optical Engineering
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)
Final published version