Paper
14 April 2008 Dynamic range compression deconvolution for enhancement of automatic target recognition system performance
Bahareh Haji-saeed, Jed Khoury, W. D. Goodhue, Charles L. Woods, John Kierstead
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Abstract
A generic nonlinear dynamic range compression deconvolver (DRCD) is proposed. We have performed the dynamic range compression deconvolution using three forms of nonlinearities: (a) digital implementation- A-law/μ-law, (b) hybrid digital-optical implementation- two-beam coupling photorefractive holography, and (c) all optical implementation- MEMS deformable mirrors. The performance of image restoration improves as the saturation nonlinearity increases. The DRCD could be used as a preprocessor for enhancing Automatic Target Recognition (ATR) system performance. In imaging through atmosphere, factors such as rain, snow, haze, pollution, etc. affect the received information from a target; therefore the need for correcting these captured images before an ATR system is required. The DRCD outperforms well-established image restoration filters such as the inverse and the Wiener filters.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bahareh Haji-saeed, Jed Khoury, W. D. Goodhue, Charles L. Woods, and John Kierstead "Dynamic range compression deconvolution for enhancement of automatic target recognition system performance", Proc. SPIE 6967, Automatic Target Recognition XVIII, 696706 (14 April 2008); https://doi.org/10.1117/12.778470
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KEYWORDS
Image restoration

Deconvolution

Image filtering

Signal to noise ratio

Image compression

Electronic filtering

Filtering (signal processing)

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