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Proceedings Paper

Practical Algorithms For Phase Retrieval
Author(s): Steven K. Rogers; Lewis J. Pinson
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Paper Abstract

Two iterative algorithms are presented for phase retrieval from intensity measurements for two-dimensional complex-valued sequences. The first algorithm constructs a linear combination of present and past iteration outputs using a relaxation parameter. The second algorithm utilizes a Kalman-type filter to combine estimates of object domain magnitude. A new error metric is defined that uses residual monitoring to show the relationship of the error to the reconstructed image quality. These algorithms are first tested against real-valued images to investigate their convergence chacacteristics. Both algorithms are then applied to infrared images which are characterized by low-contrast and noise-corruption. The question of uniqueness is also addressed for two-dimensional complex-valued sequences.

Paper Details

Date Published: 4 December 1984
PDF: 6 pages
Proc. SPIE 0504, Applications of Digital Image Processing VII, (4 December 1984); doi: 10.1117/12.944876
Show Author Affiliations
Steven K. Rogers, University of Colorado at Colorado Springs (United States)
Lewis J. Pinson, University of Colorado at Colorado Springs (United States)


Published in SPIE Proceedings Vol. 0504:
Applications of Digital Image Processing VII
Andrew G. Tescher, Editor(s)

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