Dynamic Range Compression Deconvolution for Enhancement of Automatic Target Recognition System Performance
AIR FORCE RESEARCH LAB HANSCOM AFB MA OPTOELECTRONIC TECHNOLOGY BRANCH
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A generic nonlinear dynamic range compression deconvolver DRCD is proposed. We have performed the dynamic range compression deconvolution using three forms of nonlinearities 1 digital implementation- A-law -law, 2 hybrid digital-optical implementation- two-beam coupling photorefractive holography, and 3 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.
- Miscellaneous Detection and Detectors
- Target Direction, Range and Position Finding