Image reconstruction using the phase variance algorithm

James R. Fienup

doi:10.1117/12.23673

1 November 1990 Image reconstruction using the phase variance algorithm

James R. Fienup

Proceedings Volume 1351, Digital Image Synthesis and Inverse Optics; (1990) https://doi.org/10.1117/12.23673
Event: 34th Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1990, San Diego, CA, United States

Abstract

In many imaging situations the quality of the image is degraded by phase errors. In this paper we describe an algorithm for correcting phase errors. It is applicable to cases in which the phase- error-degraded complex Fourier transform of the aberrated image is available; these include imaging with heterodyne sensors or with interferometric sensors. The phase-error correction algorithm is a variation on the iterative Fourier transform (phase retrieval) algorithm. It uses a support constraint on the object, making it useful for imaging bright objects on dark backgrounds. It can be extended to include uncertainties in both the modulus and the phase of the Fourier transform.

Citation Download Citation

James R. Fienup "Image reconstruction using the phase variance algorithm", Proc. SPIE 1351, Digital Image Synthesis and Inverse Optics, (1 November 1990); https://doi.org/10.1117/12.23673

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