Real-time and ultrahigh accuracy image synthesis algorithm for full field of view imaging system

Abstract

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. Optical imaging systems are now widely used in medical, biological and military fields 1-3. With the expansion of application scope, higher performance indexes of imaging systems are required, such as larger FOV, higher resolution and lower distortion. In previous work, the conventional single-channel imaging system adopts a complex diffraction/refraction hybrid system 4. However, the uncorrected second-order spectrum of the optical glass results in a poor image quality. Some scientists make some contributions to the planar imaging system with multiple channels 5-8. However, FOV is small and imaging quality is at a low level. Besides, multi-camera imaging system without image processing technology requires multi-window scanning imaging, which causes great confusion to observation for real-time and large-FOV performance 9. To obtain full FOV and high resolution, usually image synthesis algorithms are needed and the system combined with image synthesis algorithms can obtain high resolution 10-17. For example, AWARE-2 camera is proposed, which achieves high resolution synthesized image by algorithm. However, it only has horizontal 90°-120° FOVs and cylindrical 60°-70° FOVs, which can't provide a capacious vision 10. Furthermore, the conventional image processing algorithms, such as rotation-clipping-mapping algorithm, often contain relatively large errors and the imaging precision is at a millimeter level 11. Besides, conventional large-FOV imaging system with a pixel-level accuracy can't guarantee a full field-of-view imaging effect 12. And High-resolution imaging system based on traditional imaging synthesis algorithm is difficult to realize real-time imaging, which is extremely detrimental to engineering requirements 14. Some image processing techniques matching imaging system can't deal with the distortion, which causes bad distortion 15. The imaging system using scanning method is also time-consuming and make a timely judgment on the imaging result 16. Also, some imaging systems with image processing technique have no stable robustness and accuracy rate facing complex environment 17. These conventional multi-c...

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