Practical Algorithms For Phase Retrieval

Steven K. Rogers; Lewis J. Pinson

doi:10.1117/12.944876

4 December 1984 Practical Algorithms For Phase Retrieval

Steven K. Rogers, Lewis J. Pinson

Proceedings Volume 0504, Applications of Digital Image Processing VII; (1984) https://doi.org/10.1117/12.944876
Event: 28th Annual Technical Symposium, 1984, San Diego, United States

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.

Citation Download Citation

Steven K. Rogers and Lewis J. Pinson "Practical Algorithms For Phase Retrieval", Proc. SPIE 0504, Applications of Digital Image Processing VII, (4 December 1984); https://doi.org/10.1117/12.944876

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