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- W2036974659 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." @default.
- W2036974659 created "2016-06-24" @default.
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- W2036974659 date "2008-04-03" @default.
- W2036974659 modified "2023-09-23" @default.
- W2036974659 title "Dynamic range compression deconvolution for enhancement of automatic target recognition system performance" @default.
- W2036974659 doi "https://doi.org/10.1117/12.778470" @default.
- W2036974659 hasPublicationYear "2008" @default.
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