Image blur analysis and elimination algorithm for an MTF test target of a space camera
C. Wang; C. Y. Liu; J. T. Peng; Y. X. Zhang; H. L. Hu and S. Liu
刊名Applied Optics
2022
卷号61期号:6页码:1440-1449
ISSN号1559-128X
DOI10.1364/ao.441965
英文摘要The high-resolution space camera needs to image the fringe target that meets the sampling frequency in the modulation transfer function test. However, blurry regions often appear in the target image, which seriously affects the visual effect and test efficiency. In this paper, by analyzing the imaging process of the rectangle striated target by a complementary metal-oxide-semiconductor transistor detector, a moire fringe blurry degradation model of the target image is proposed. According to the degradation model, it is concluded that there are low blurry degradation regions in the image. Taking the low blurry degradation region as the reference information and the region similarity as the weight, the weighted spatial filtering and mean filtering are carried out to eliminate the blurry band in the target image. The experimental results show that compared with bilinear interpolation and guidance filter, this algorithm can effectively remove the image blur caused by the target periodic error and the angle error. The work in this paper provides a practical tool and theoretical support for subsequent space camera tests. (C) 2022 Optica Publishing Group
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语种英语
内容类型期刊论文
源URL[http://ir.ciomp.ac.cn/handle/181722/66745]  
专题中国科学院长春光学精密机械与物理研究所
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GB/T 7714
C. Wang,C. Y. Liu,J. T. Peng,et al. Image blur analysis and elimination algorithm for an MTF test target of a space camera[J]. Applied Optics,2022,61(6):1440-1449.
APA C. Wang,C. Y. Liu,J. T. Peng,Y. X. Zhang,&H. L. Hu and S. Liu.(2022).Image blur analysis and elimination algorithm for an MTF test target of a space camera.Applied Optics,61(6),1440-1449.
MLA C. Wang,et al."Image blur analysis and elimination algorithm for an MTF test target of a space camera".Applied Optics 61.6(2022):1440-1449.
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