Real-time and ultrahigh accuracy image synthesis algorithm for full field of view imaging system
| Autor: | Wu-Xiang Zhao, Jin-Hui Wang, Shu-Bin Liu, Rong-Ying Yuan, Qiong-Hua Wang, Lei Li |
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| Rok vydání: | 2020 |
| Předmět: |
Multidisciplinary
Matching (graph theory) Computer science lcsh:R ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION lcsh:Medicine 02 engineering and technology 021001 nanoscience & nanotechnology 01 natural sciences Article Field (computer science) Image synthesis 010309 optics Optical imaging Optics and photonics Full field of view 0103 physical sciences Microscopy Other photonics lcsh:Q Optical techniques lcsh:Science 0210 nano-technology Applied optics Algorithm |
| Zdroj: | Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020) Scientific Reports |
| ISSN: | 2045-2322 |
| DOI: | 10.1038/s41598-020-69353-9 |
| Popis: | In this paper, we propose a real time, ultrahigh accuracy and full-field-of-view (RUF) algorithm for full field of view (FOV) imaging system. The proposed algorithm combines rough matching and precise matching method to stitch multiple images with the whole FOV in short time and high imaging quality. In order to verify real-time imaging effect of RUF algorithm, we also fabricate a multi-camera imaging system which includes 19 independent cameras. And the experiment result practically illustrates that full-FOV system can achieve good performances under a near-limiting FOV of 360° × 240° with low distortion, meanwhile, optical resolution reaches up to 95 megapixels. 100% registration-accuracy RUF algorithm for imaging in one second can be widely applied to any optical imaging engineering field with large FOV, such as remote sensing imaging, microscopy imaging, monitoring system engineering fields and so on. |
| Databáze: | OpenAIRE |
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