Greyscale correction algorithm of aerial filter array multispectral image

The Imaging Science Journal Pub Date : 2023-10-18 DOI:10.1080/13682199.2023.2263278

Tong Shao Li, Wen Bang Sun, Xin Wei Bai, Di Wu, Zhen Hai Chen, Jia Yu Zhang

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Abstract

ABSTRACTFilter array multispectral cameras are influenced by imaging mechanism and process characteristics, spliced images have edge interference fringes and greyscale differences. Aiming at the problems of inconsistent greyscale of filter array multispectral camera, a new method of greyscale correction algorithm is proposed in this paper. First, the mechanism and adjustment principle of edge interference streaks and stripe greyscale difference are thoroughly analyzed; Second, the greyscale of interference area is adjusted by using greyscale of adjacent image non-interference area; Third, the greyscale of whole image is adjusted by using proportional relationship between the adjacent overlap area greyscale; Finally, sequence images are spliced to obtain single-band image with same greyscale. Theoretical analysis and experimental results show that this method can not only effectively solve the problem of inconsistent greyscale due to the influence of imaging mechanism and process characteristics, but also can maximally preserve spectral information characteristics in different wavelength bands.KEYWORDS: Filter arraymultispectral imagegreyscale correctionedge interference streakgreyscale differenceimage stitchingsingle bandgreyscale consistency Additional informationNotes on contributorsTong Shao LiTong Shao Li, born in 1998, male, Master's Degree. Research Interests: Digital Image Processing.Wen Bang SunWen Bang Sun, born in 1976, male, PhD Degree, associate professor. Research interests: digital image processing and information security theory.Xin Wei BaiXin Wei Bai, female. Research interests: digital image processing.Di WuDi Wu, female. Research interests: digital image processing.Zhen Hai ChenZhen Hai Chen, male. Research direction: digital image processing.Jia Yu ZhangJia Yu Zhang, male. Research interests: digital image processing.

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航空滤波阵列多光谱图像的灰度校正算法

摘要滤波阵列多光谱相机受成像机理和工艺特性的影响，拼接后的图像存在边缘干涉条纹和灰度差异。针对滤波阵列多光谱相机灰度不一致的问题，提出了一种新的灰度校正算法。首先，深入分析了边缘干涉条纹和条纹灰度差的产生机理和调节原理;其次，利用相邻图像非干涉区域的灰度调整干涉区域的灰度;第三，利用相邻重叠区域灰度的比例关系调整整幅图像的灰度;最后，对序列图像进行拼接，得到具有相同灰度的单波段图像。理论分析和实验结果表明，该方法既能有效解决成像机理和工艺特性影响下的灰度不一致问题，又能最大限度地保留不同波长波段的光谱信息特征。关键词:滤波阵列多光谱图像灰度校正边缘干涉条纹灰度差图像拼接单波段灰度一致性附加信息作者说明邵立同邵立，1998年生，男，硕士学位。主要研究方向:数字图像处理。孙文邦，1976年生，男，博士，副教授。主要研究方向:数字图像处理与信息安全理论。白新薇，女。主要研究方向:数字图像处理。迪·吴，女。主要研究方向:数字图像处理。陈振海陈振海，男。研究方向:数字图像处理。张佳玉，张佳玉，男。主要研究方向:数字图像处理。

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The Imaging Science Journal

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