Correction algorithm for misalignment and magnification difference of focused and defocused images in phase diversity image reconstruction

Phase diversity (PD) technology typically requires additional optical channels to capture images with known aberrations. In real applications, defocus aberration is widely used, and a typical method is to add an imaging camera with known optical path differences from the focal plane. However, the method of introducing defocus aberration through optical path differences can lead to misalignment and different magnifications of focused and defocused images, resulting in a significant decrease in the reconstruction accuracy of the PD algorithm. In this paper, we analyze the sources of magnification difference and misalignment and propose the method based on image coordinate transformation. For simulation experiments of 400 groups, the PV values of magnification and misalignment calculation errors are 0.0008 and 1.34 pixels, which verify the accuracy of our method for image correction. For the actual extended target images, by using our method of PD technology, we achieve a reconstruction result of 1.043 times the diffraction limit, and the experimental results demonstrate the effectiveness and reliability of our method.

Authors

Institutions

Publication Details

Journal
Applied Optics
Published
2024-10-02
DOI
https://doi.org/10.1364/ao.537223
Primary Topic
Image Processing Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Correction algorithm for misalignment and magnification difference of focused and defocused images in phase diversity image reconstruction

Qing Bian, Ning Jiang, Hua Bao, Ying Zhang et al.
Applied Optics
Image Processing Techniques and Applications
article

Correction algorithm for misalignment and magnification difference of focused and defocused images in phase diversity image reconstruction

Qing Bian, Ning Jiang, Hua Bao, Ying Zhang, Guoqing Gao, Changhui Rao, daiyin luo, Shuqi Li
article en

Abstract

Phase diversity (PD) technology typically requires additional optical channels to capture images with known aberrations. In real applications, defocus aberration is widely used, and a typical method is to add an imaging camera with known optical path differences from the focal plane. However, the method of introducing defocus aberration through optical path differences can lead to misalignment and different magnifications of focused and defocused images, resulting in a significant decrease in the reconstruction accuracy of the PD algorithm. In this paper, we analyze the sources of magnification difference and misalignment and propose the method based on image coordinate transformation. For simulation experiments of 400 groups, the PV values of magnification and misalignment calculation errors are 0.0008 and 1.34 pixels, which verify the accuracy of our method for image correction. For the actual extended target images, by using our method of PD technology, we achieve a reconstruction result of 1.043 times the diffraction limit, and the experimental results demonstrate the effectiveness and reliability of our method.

Applied OpticsVol. 63(31)
Chinese Academy of Sciences (CN), Institute of Optics and Electronics, Chinese Academy of Sciences (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 73%
Image Processing Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Correction algorithm for misalignment and magnification difference of focused and defocused images in phase diversity image reconstruction — Qing Bian, Ning Jiang, et al. · Applied Optics (2024) | TGRS Research Map | TGRS