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PSO-based imaging restoration method for diffraction imaging systems

delete2026-01-07
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OA
AI
C
Can Li
L
Lianghua Wen
G
Guochun Liu
Z
Zhengcong Du *
J
Jiaxun Li
T
Tong Yang
S
Sanxiu Jiao
DOI:10.3389/aot.2025.1730807delete
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Abstract

Abstract

En 中文
Membrane diffraction imaging is one of the most widely used imaging technologies today, which offers the advantages such as lightweight design, large aperture, foldability, and low cost. However, the system imaging quality degrades because of the multiple order diffraction generated by the diffractive elements in practical applications. To eliminate the effects of multiple diffraction orders from the diffractive elements and optimize imaging quality, the system images are post processed. Iterative optimization algorithms are commonly used for image post processing. Particle swarm optimization is a commonly used iterative optimization algorithm, which is often used to search for optimal solutions within the solution space. The particle swarm optimization algorithm has the features of few parameters, simple behavior, and fast iteration speed, which can rapidly and effectively optimize imaging. This paper optimizes the simulated imaging of a diffraction imaging system based on Fresnel zone plates by adopting the particle swarm optimization algorithm. Optimize the system image based on known point spread functions and the system image. System imaging is optimized under the premise of known point spread functions and system imaging. The iteration speed is enhanced, reducing the number of iterations by approximately 99.6 % compared to the random parallel gradient descent algorithm. Simultaneously, contrast is improved by about 5.4 % , while gradient optimization effectiveness increases by approximately 25.4 % after optimization by the particle swarm algorithm. Finally, the derived restoration model was applied to other images, achieving overall improvements in all evaluation metrics.
Keywords:
fresnel zone plate
imaging optimization
multiple orders diffraction
particle swarm optimization algorithm
point spread function

Journal

A
Advanced Optical Technologies
IF:
3
Papers:
8
Citations:
0

Organization

C
Civil Aviation Flight University of China
Scholars:
981
Papers: 302
Citations: 691
Y
Yibin University
Scholars:
1.1K
Papers: 781
Citations: 2.1K
Cited Papers

Cited Papers

Aberration correction based on wavefront sensorless adaptive optics in membrane diffractive optical telescope
err2019-11-01
err0
PREAI
errZhu,Licheng; Wen,Lianghua; Yang,Ping; Guo,Zhenghua; Yang,Wei; Xu,Bing; Guan,Chunlin
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Faint-Object Imaging of Diffractive Telescopes Based on Image Restoration
err2020-01-01
err0
PREAI
errYang Jingjing,杨静静; Wang Shuai,王帅; Wen Lianghua,文良华; Yang Ping,杨平; Yang Wei,杨伟; Guan Chunlin,官春林; Xu Bing,许冰
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A high speed model-based approach for wavefront sensorless adaptive optics systems
err2018-02-01
err0
PREAI
errWen Lianghua; Ping Yang; Wang Shuai; Liu Wenjing; Chen Shanqiu; Bing Xu
errShare
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MOIRE: ground demonstration of a large aperture diffractive transmissive telescope
err2014-08-02
err0
PREAI
errPaul Atcheson; Jeanette Domber; Kevin Whiteaker; Jerald A. Britten; Shamasundar N. Dixit; Brandon Farmer
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Experimental study on imaging and image deconvolution of a diffractive telescope system
err2019-11-18
err0
PREAI
errJingjing Yang; Shuai Wang; Langhua Wen; Ping Yang; Wei Yang; Chunlin Guan; Bing Xu
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A Novel SPGD Algorithm for Wavefront Sensorless Adaptive Optics System
err2023-08-01
err0
PREAI
errLi,Jiaxun; Wen,Lianghua; Liu,Hankui; Wei,Guiming; Cheng,Xiang; Li,Qing; Ran,Bing
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More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification
err2021-05-01
err1.0K
errOAAI
errHong, Danfeng; Gao, Lianru; Yokoya, Naoto; Yao, Jing; Chanussot, Jocelyn; Du, Qian; Zhang, Bing
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