A new robust method for two-dimensional inverse filtering

Megan M. Fuller; Jae S. Lim

doi:10.1117/12.2078070

4 March 2015 A new robust method for two-dimensional inverse filtering

Megan M. Fuller, Jae S. Lim

Proceedings Volume 9410, Visual Information Processing and Communication VI; 941002 (2015) https://doi.org/10.1117/12.2078070
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

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.

Citation Download Citation

Megan M. Fuller and Jae S. Lim "A new robust method for two-dimensional inverse filtering", Proc. SPIE 9410, Visual Information Processing and Communication VI, 941002 (4 March 2015); https://doi.org/10.1117/12.2078070

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