Image Reconstruction In The Presence Of Noise

D. C. Watson; L. B. Race Jr.

doi:10.1117/12.942092

29 January 1988 Image Reconstruction In The Presence Of Noise

D. C. Watson, L. B. Race Jr.

Proceedings Volume 0828, Digital Image Recovery and Synthesis; (1988) https://doi.org/10.1117/12.942092
Event: 31st Annual Technical Symposium on Optical and Optoelectronic Applied Sciences and Engineering, 1987, San Diego, CA, United States

Abstract

Correlographic image reconstruction, using pupil-plane intensity patterns generated by a coherently-illuminated object, has been simulated O and has successfully reproduced the density mask used to drive the simulation. We describe a set of experiments in which a physical object was illuminated, and detector-plane intensity readouts were used as the input to correlographic reconstruction software. The effects of dark current bias, finite analog-to-digital conversion error, and additive noise are evaluated. The correlogram construction process includes inward extrapolation for smoothing of the D.C. spike. The phase retrieval process includes annealing and median filtering. As compared with the simulated results, the experimental results show greater difficulty in convergence and a lower fidelity in the reconstructed image.

Citation Download Citation

D. C. Watson and L. B. Race Jr. "Image Reconstruction In The Presence Of Noise", Proc. SPIE 0828, Digital Image Recovery and Synthesis, (29 January 1988); https://doi.org/10.1117/12.942092

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