Super-Resolution Image Optimisation Based on Gradient Iterative Fast Diffraction-Free Spot Algorithm
Diffraction significantly deteriorates the quality of the laser image, causing severe degradation that undermines the theoretical performance parameters of the autofocus system. In this paper, we conduct a comprehensive analysis of the non-uniform features of the images. To enhance the imaging quali...
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MDPI AG
2025-05-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/10/3221 |
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| author | Chen Yu Ying Liu Linhan Li Guangpeng Zhou Boshi Dang Jie Du Junlin Ma Site Zhang |
| author_facet | Chen Yu Ying Liu Linhan Li Guangpeng Zhou Boshi Dang Jie Du Junlin Ma Site Zhang |
| author_sort | Chen Yu |
| collection | DOAJ |
| description | Diffraction significantly deteriorates the quality of the laser image, causing severe degradation that undermines the theoretical performance parameters of the autofocus system. In this paper, we conduct a comprehensive analysis of the non-uniform features of the images. To enhance the imaging quality of each individual image, we propose a de-diffraction algorithm based on gradient iteration. This algorithm is capable of rapidly removing the interference spots resulting from diffraction and restoring the distorted laser spots. By doing so, it effectively eliminates the inevitable reduction in the autofocus resolution and focusing accuracy caused by diffraction. Furthermore, the proposed calculation model for the intra-localisation interval significantly improves the convergence of the iterative calculation process. Through experiments, it has been verified that, under the same conditions, the interlayer resolution between the reflective surfaces of the samples processed using this algorithm is increased to a quarter of the original value. This remarkable improvement in resolution, which far exceeds the microscope’s inherent resolution, demonstrates that the algorithm successfully achieves super-resolution for the microscope. |
| format | Article |
| id | doaj-art-85eda221e9c541e7bdc855ae2c2c6f84 |
| institution | DOAJ |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-85eda221e9c541e7bdc855ae2c2c6f842025-08-20T03:12:09ZengMDPI AGSensors1424-82202025-05-012510322110.3390/s25103221Super-Resolution Image Optimisation Based on Gradient Iterative Fast Diffraction-Free Spot AlgorithmChen Yu0Ying Liu1Linhan Li2Guangpeng Zhou3Boshi Dang4Jie Du5Junlin Ma6Site Zhang7Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaDiffraction significantly deteriorates the quality of the laser image, causing severe degradation that undermines the theoretical performance parameters of the autofocus system. In this paper, we conduct a comprehensive analysis of the non-uniform features of the images. To enhance the imaging quality of each individual image, we propose a de-diffraction algorithm based on gradient iteration. This algorithm is capable of rapidly removing the interference spots resulting from diffraction and restoring the distorted laser spots. By doing so, it effectively eliminates the inevitable reduction in the autofocus resolution and focusing accuracy caused by diffraction. Furthermore, the proposed calculation model for the intra-localisation interval significantly improves the convergence of the iterative calculation process. Through experiments, it has been verified that, under the same conditions, the interlayer resolution between the reflective surfaces of the samples processed using this algorithm is increased to a quarter of the original value. This remarkable improvement in resolution, which far exceeds the microscope’s inherent resolution, demonstrates that the algorithm successfully achieves super-resolution for the microscope.https://www.mdpi.com/1424-8220/25/10/3221elimination of diffraction spotsmicroscopyfast autofocuscomputer vision |
| spellingShingle | Chen Yu Ying Liu Linhan Li Guangpeng Zhou Boshi Dang Jie Du Junlin Ma Site Zhang Super-Resolution Image Optimisation Based on Gradient Iterative Fast Diffraction-Free Spot Algorithm Sensors elimination of diffraction spots microscopy fast autofocus computer vision |
| title | Super-Resolution Image Optimisation Based on Gradient Iterative Fast Diffraction-Free Spot Algorithm |
| title_full | Super-Resolution Image Optimisation Based on Gradient Iterative Fast Diffraction-Free Spot Algorithm |
| title_fullStr | Super-Resolution Image Optimisation Based on Gradient Iterative Fast Diffraction-Free Spot Algorithm |
| title_full_unstemmed | Super-Resolution Image Optimisation Based on Gradient Iterative Fast Diffraction-Free Spot Algorithm |
| title_short | Super-Resolution Image Optimisation Based on Gradient Iterative Fast Diffraction-Free Spot Algorithm |
| title_sort | super resolution image optimisation based on gradient iterative fast diffraction free spot algorithm |
| topic | elimination of diffraction spots microscopy fast autofocus computer vision |
| url | https://www.mdpi.com/1424-8220/25/10/3221 |
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