An Ultrafast Image Simulation Technique with Spatially Variable Point-spread Functions
Simulated images are essential in algorithm development and instrument testing for optical telescopes. During real observations, images obtained by optical telescopes are affected by spatially variable point-spread functions (PSFs), a crucial effect requiring accurate simulation. Traditional methods...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2025-01-01
|
| Series: | The Astronomical Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.3847/1538-3881/ad9b2e |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832592570820067328 |
|---|---|
| author | Zeyu Bai Peng Jia Jiameng Lv Xiang Zhang Wennan Xiang Lin Nie |
| author_facet | Zeyu Bai Peng Jia Jiameng Lv Xiang Zhang Wennan Xiang Lin Nie |
| author_sort | Zeyu Bai |
| collection | DOAJ |
| description | Simulated images are essential in algorithm development and instrument testing for optical telescopes. During real observations, images obtained by optical telescopes are affected by spatially variable point-spread functions (PSFs), a crucial effect requiring accurate simulation. Traditional methods segment images into patches, convolve patches with individual PSFs, and reassemble them as a whole image. Although widely used, these approaches suffer from slow convolution processes and reduced image fidelity due to abrupt PSF transitions between different patches. This paper introduces a novel method for generating simulated images with spatial continuously varying PSFs. Our approach first decomposes original images into PSF basis derived with the principal component analysis method. The entire image is then convolved with this PSF basis to create image basis. Finally, we multiply the coefficients of image basis by the corresponding PSF basis for each pixel and add the multiplication results along each pixel to obtain the final simulated image. Our method could generate high-fidelity simulated images with spatially variable PSFs without boundary artifacts. The method proposed in this paper significantly improves the speed of astronomical image simulation, potentially advancing observational astronomy and instrumental development. |
| format | Article |
| id | doaj-art-63e4e6952b614369bfe3fc84d3947ad2 |
| institution | Kabale University |
| issn | 1538-3881 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | The Astronomical Journal |
| spelling | doaj-art-63e4e6952b614369bfe3fc84d3947ad22025-01-21T06:42:47ZengIOP PublishingThe Astronomical Journal1538-38812025-01-0116928810.3847/1538-3881/ad9b2eAn Ultrafast Image Simulation Technique with Spatially Variable Point-spread FunctionsZeyu Bai0Peng Jia1https://orcid.org/0000-0001-6623-0931Jiameng Lv2Xiang Zhang3Wennan Xiang4Lin Nie5College of Electronic Information and Optical Engineering, Taiyuan University of Technology , Taiyuan 030024, People’s Republic of China ; robinmartin20@gmail.comCollege of Electronic Information and Optical Engineering, Taiyuan University of Technology , Taiyuan 030024, People’s Republic of China ; robinmartin20@gmail.comCollege of Electronic Information and Optical Engineering, Taiyuan University of Technology , Taiyuan 030024, People’s Republic of China ; robinmartin20@gmail.comCollege of Electronic Information and Optical Engineering, Taiyuan University of Technology , Taiyuan 030024, People’s Republic of China ; robinmartin20@gmail.comCollege of Electronic Information and Optical Engineering, Taiyuan University of Technology , Taiyuan 030024, People’s Republic of China ; robinmartin20@gmail.comDepartment of Information Engineering , Wuhan Institute of City, Wuhan, Hubei 430083, People’s Republic of ChinaSimulated images are essential in algorithm development and instrument testing for optical telescopes. During real observations, images obtained by optical telescopes are affected by spatially variable point-spread functions (PSFs), a crucial effect requiring accurate simulation. Traditional methods segment images into patches, convolve patches with individual PSFs, and reassemble them as a whole image. Although widely used, these approaches suffer from slow convolution processes and reduced image fidelity due to abrupt PSF transitions between different patches. This paper introduces a novel method for generating simulated images with spatial continuously varying PSFs. Our approach first decomposes original images into PSF basis derived with the principal component analysis method. The entire image is then convolved with this PSF basis to create image basis. Finally, we multiply the coefficients of image basis by the corresponding PSF basis for each pixel and add the multiplication results along each pixel to obtain the final simulated image. Our method could generate high-fidelity simulated images with spatially variable PSFs without boundary artifacts. The method proposed in this paper significantly improves the speed of astronomical image simulation, potentially advancing observational astronomy and instrumental development.https://doi.org/10.3847/1538-3881/ad9b2eOptical telescopesAstronomical simulationsNeural networks |
| spellingShingle | Zeyu Bai Peng Jia Jiameng Lv Xiang Zhang Wennan Xiang Lin Nie An Ultrafast Image Simulation Technique with Spatially Variable Point-spread Functions The Astronomical Journal Optical telescopes Astronomical simulations Neural networks |
| title | An Ultrafast Image Simulation Technique with Spatially Variable Point-spread Functions |
| title_full | An Ultrafast Image Simulation Technique with Spatially Variable Point-spread Functions |
| title_fullStr | An Ultrafast Image Simulation Technique with Spatially Variable Point-spread Functions |
| title_full_unstemmed | An Ultrafast Image Simulation Technique with Spatially Variable Point-spread Functions |
| title_short | An Ultrafast Image Simulation Technique with Spatially Variable Point-spread Functions |
| title_sort | ultrafast image simulation technique with spatially variable point spread functions |
| topic | Optical telescopes Astronomical simulations Neural networks |
| url | https://doi.org/10.3847/1538-3881/ad9b2e |
| work_keys_str_mv | AT zeyubai anultrafastimagesimulationtechniquewithspatiallyvariablepointspreadfunctions AT pengjia anultrafastimagesimulationtechniquewithspatiallyvariablepointspreadfunctions AT jiamenglv anultrafastimagesimulationtechniquewithspatiallyvariablepointspreadfunctions AT xiangzhang anultrafastimagesimulationtechniquewithspatiallyvariablepointspreadfunctions AT wennanxiang anultrafastimagesimulationtechniquewithspatiallyvariablepointspreadfunctions AT linnie anultrafastimagesimulationtechniquewithspatiallyvariablepointspreadfunctions AT zeyubai ultrafastimagesimulationtechniquewithspatiallyvariablepointspreadfunctions AT pengjia ultrafastimagesimulationtechniquewithspatiallyvariablepointspreadfunctions AT jiamenglv ultrafastimagesimulationtechniquewithspatiallyvariablepointspreadfunctions AT xiangzhang ultrafastimagesimulationtechniquewithspatiallyvariablepointspreadfunctions AT wennanxiang ultrafastimagesimulationtechniquewithspatiallyvariablepointspreadfunctions AT linnie ultrafastimagesimulationtechniquewithspatiallyvariablepointspreadfunctions |