Dynamic Range Compression Deconvolution for Enhancement of Automatic Target Recognition System Performance
Abstract
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 03, 2008
- Accession Number
- ADA482319
Entities
People
- Bahareh Haji-saeed
- Charles L. Woods
- Jed Khoury
- John Kierstead
- William Goodhue
Organizations
- Air Force Research Laboratory