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Bayer interpolation for video satellite images |
Jiaqi WU1,2, Taoyang WANG2(), Yufen PENG3, Guo ZHANG4 |
1.School of Geomatics, Liaoning Technical University, Fuxin 123000, China 2.School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China 3.Hubei Geomatics Technology Group Stock Co., Ltd., Wuhan 430074, China 4.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China |
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Abstract Video satellite capture color video data are obtained by using the single CMOS sensor with color filter array (CFA) Bayer pattern. To obtain the full color image sequences, researchers should perform the processing of Bayer image interpolation. Aimed at the interpolation of satellite video Bayer image, the authors propose a improved method based on the signal filter reconstruction of luminance and chrominance. Firstly, band-pass filters are used for extracting luminance and chrominance signal. And the initial reconstruction result can be obtained according to the Bayer spatial model. Moreover, median filtering in non-smooth region and edge direction interpolation in the smooth region are applied to the G-B or G-R difference band for updating the green band. In the end, the red band and blue band are also updated in the new G-B or G-R difference band. To verify the feasibility of the proposed method, the authors tested 4 video Bayer image of Jilin-1 01 and 03 and compared the obtained results with two classic methods. The experimental results show that method designed by the authors has the best comprehensive performance both in subjective evaluation and objective evaluation. The reconstructed image quality is good and has no obvious noise and pseudo-color effects; in addition, the edge is sharp and clear. The method can be used for satellite video further processing and application.
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Keywords
video satellite
Bayer interpolation
Bayer model
median filter
edge direction
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Corresponding Authors:
Taoyang WANG
E-mail: wangtaoyang@whu.edu.cn
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Issue Date: 23 May 2019
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