An Improved Phase Recovery Algorithm Based on mse Selection

Abstract

The invention discloses an improved phase recovery algorithm based on MSE selection, which includes the following steps: A1, taking random Fourier phase as input, obtaining the reconstruction result of the phase recovery algorithm, and calculating the Fourier amplitude and the reconstruction result The mean square error between the initial Fourier amplitudes of the target; A2. Repeat step A1 with multiple different random Fourier phases as input to obtain corresponding multiple reconstruction results and corresponding multiple mean square errors; A3 . Using the mean square error as an evaluation index of the quality of the reconstruction result, selecting the optimal reconstruction result from the plurality of reconstruction results as the final output, so as to realize the phase recovery of the target object. The invention can realize stable phase recovery.

Description

technical field

[0001] The invention relates to the fields of computer vision and digital image processing, in particular to an improved phase recovery algorithm based on MSE selection. Background technique

[0002] The traditional phase recovery algorithm is used to iteratively restore the real Fourier phase of the target object with a random phase as the initial guess of the Fourier phase when the Fourier amplitude of the target object is known but the Fourier phase is unknown. Lie phase and spatial distribution of reconstructed objects. However, due to the randomness of the initial phase guessing, the spatial distribution of the target object reconstructed by the traditional phase recovery algorithm and the real Fourier phase of the target object recovered are very unstable, which makes it difficult to obtain from a single phase recovery result. Accurate and effective target airspace information limits the applicability of traditional phase recovery algorithms.

[0003] ...

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