Combined exposure computational imaging system and image restoration method

doi:10.37188/OPE.20212902.0452

CIOMP OpenIR

	Combined exposure computational imaging system and image restoration method
	X.-T. Wu; B. Lu; B. Liu and H. Yang
	2021
发表期刊	Guangxue Jingmi Gongcheng/Optics and Precision Engineering
ISSN	1004924X
卷号	29 期号:2 页码:452-462
摘要	In traditional optical imaging, when high-speed moving objects are photographed under low-light conditions, balancing the contrasting differences between energy acquisition and high-speed motion blur by configuring the integration time is difficult. To solve this problem, a computational imaging method based on combined exposure was proposed. A high-frame-rate camera was used to acquire two adjacent frames to form a combined exposure image pair. Based on the complementary information between the two frames, the motion blur point spread function was estimated, and the restored image with a high signal-to-noise ratio (SNR) was then recovered. Experimental results show that the proposed computational imaging method can solve the blur problem of high-speed object imaging under low-light conditions. Compared with the original degraded image, the restored image obtained by the restoration algorithm is significantly improved in terms of detailed texture. The objective evaluation indices of peak SNR and structural similarity index measure are also improved by greater than 10% over those of the degraded image. Overall, the performance of the proposed computational imaging method is better than that of the existing non-depth learning restoration method, and the image proved to be clear and reliable, exhibiting a good subjective visual effect. 2021, Science Press. All right reserved.
DOI	10.37188/OPE.20212902.0452
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收录类别	EI
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/65096
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	X.-T. Wu,B. Lu,B. Liu and H. Yang. Combined exposure computational imaging system and image restoration method[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2021,29(2):452-462.
APA	X.-T. Wu,B. Lu,&B. Liu and H. Yang.(2021).Combined exposure computational imaging system and image restoration method.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,29(2),452-462.
MLA	X.-T. Wu,et al."Combined exposure computational imaging system and image restoration method".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 29.2(2021):452-462.

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