Error Reduction Algorithm Phase Retrieval

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The phase retrieval problem is of paramount importance in various areas of applied physics and engineering. The state of the art for solving this problem in two.

Preliminary data processing is required for the following algorithms to be able to.

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Then, the error reduction (ER) algorithm is combined with the HIO algorithm (ER/ HIOA) to retrieve the input object image and the phase, given only some.

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After reading the paper Phase retrieval algorithms: a comparison by J.R.Fienup. I implemented the Error-Reduction Algorithm in MATLAB. The initial phase input was.

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Jun 26, 2017. Bauschke, H.H., Combettes, P. L., Luke, D. R., "Phase retrieval, error reduction algorithm, and Fienup variants: a view from convex optimization".

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CiteSeerX – Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): The phase retrieval problem is of paramount importance in various areas of applied.

version of this type of algorithm is the error reduction (ER) or alternating. between ADM and existing algorithms for classical phase retrieval as well as.

May 4, 2016. Projection algorithms like error reduction [5], Fienup [6], and HPR [7] project the. Therefore, simulated annealing for Sparse PhAse Retrieval.

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Schematic view of the error reduction algorithm for phase retrieval. The error reduction is a generalisation of the Gerchberg-Saxton algorithm.

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