Paper
29 January 1988 Imaging Correlography With Sparse Collecting Apertures
Paul S. Idell, J. R. Fienup
Author Affiliations +
Abstract
Imaging correlography is a technique for constructing high-resolution images of laser illuminated objects from measurements of backscattered (non-imaged) laser speckle intensity patterns. In this paper, we investigate the possibility of implementing an imaging correlography system with sparse arrays of intensity detectors. The theory underlying the image formation process for imaging correlography is reviewed, emphasizing the spatial filtering effects that sparse collecting apertures have on the reconstructed imagery. We then demonstrate image recovery with sparse arrays of intensity detectors through the use of computer experiments in which laser speckle measurements are digitally simulated. It is shown that the quality of imagery reconstructed using this technique is visibly enhanced when appropriate filtering techniques are applied. A performance tradeoff between collecting array redundancy and the number of speckle pattern measurements is briefly discussed.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paul S. Idell and J. R. Fienup "Imaging Correlography With Sparse Collecting Apertures", Proc. SPIE 0828, Digital Image Recovery and Synthesis, (29 January 1988); https://doi.org/10.1117/12.942091
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Cited by 1 scholarly publication.
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KEYWORDS
Speckle

Speckle pattern

Image filtering

Optical filters

Image restoration

Modulation transfer functions

Sensors

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