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Proceedings Paper

Optimum distortion-invariant filter for detecting a noisy distorted target in nonoverlapping background noise
Author(s): Bahram Javidi; Jun Wang
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Paper Abstract

An optimal distortion-invariant filter for detecting a distorted target in input noise is designed. The input noise consists of two sources of noise, overlapping additive noise and non-overlapping background noise. We obtain the filter function by statistically maximizing the peak-to-energy ratio criterion, which is defined as the ratio of the expected value squared of the output signal at the target location to the expected value of the average output energy. This results in a filter output with a well defined output peak at the target location and low output noise floor. The filter is designed to take into account the effects of both overlapping additive noise and non-overlapping background noise, the finite size of the input data, and the target distortion. Computer simulation results are provided to show the performance of the filter.

Paper Details

Date Published: 7 June 1996
PDF: 12 pages
Proc. SPIE 2751, Hybrid Image and Signal Processing V, (7 June 1996); doi: 10.1117/12.242023
Show Author Affiliations
Bahram Javidi, Univ. of Connecticut (United States)
Jun Wang, Univ. of Connecticut (United States)


Published in SPIE Proceedings Vol. 2751:
Hybrid Image and Signal Processing V
David P. Casasent; Andrew G. Tescher, Editor(s)

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