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An Improved Phase Recovery Algorithm Based on mse Selection

A technology for phase recovery and algorithm improvement. It is used in computing, image enhancement, and image analysis. It can solve the problems of limiting the applicability of the phase recovery algorithm, difficult to obtain the airspace information of the target object, and instability. It can achieve stable phase recovery and The effect of target reconstruction

Active Publication Date: 2021-03-02
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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Problems solved by technology

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 object airspace information limits the applicability of traditional phase recovery algorithms

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  • An Improved Phase Recovery Algorithm Based on mse Selection
  • An Improved Phase Recovery Algorithm Based on mse Selection
  • An Improved Phase Recovery Algorithm Based on mse Selection

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Embodiment Construction

[0022] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0023] In order to achieve stable and effective reconstruction of the spatial distribution of the target and the Fourier phase of the target when the Fourier amplitude of the target is known and the Fourier phase of the target is unknown, the specific embodiment of the present invention provides a An improved phase recovery algorithm based on MSE selection, refer to figure 1 , the improved phase recovery algorithm includes the following steps A1-A3:

[0024] Step A1, with random Fourier phase θ m As an input, the reconstruction result of the phase recovery algorithm is obtained, and the mean square error between the Fourier magnitude of the reconstruction result and the initial Fourier magnitude of the target is calculated. The improved phase recovery algorithm of the present invention is mainly proposed for the defects existing in the tradit...

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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]...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T7/42
CPCG06T7/42G06T5/77
Inventor 金欣王枭宇季向阳戴琼海
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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