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A Color Restoration Algorithm for Thin-Film Camera Images

机译:薄膜摄像头图像的颜色恢复算法

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摘要

To achieve the demand of earth observation with high spatiotemporal resolution and large scale, a novel optical imaging system is planning to equip on Chinese next generation geo-stationary earth orbit (GEO) satellite. The primary mirror of camera is made of a set of thin films and adopts the diffraction imaging mechanism. A series of ground experiments have been carried out using a thin-film camera with 80 mm aperture for the technical verification. The inherent chromatic aberration due to diffraction imaging appears in the obtained data. To address the issue, a color restoration algorithm by matching, tailoring and linearly stretching the histograms is proposed in this paper. Experimental results show the proposed approach has good performances in color restoration of the diffractive optical images. The effectiveness and robustness of the algorithm are also assessed with various color deviation indexes.
机译:为了实现具有高时空分辨率和大规模的地球观测的需求,一种新型光学成像系统正在计划装备中国下一代地理固定地球轨道(地理)卫星。相机的主镜由一组薄膜制成,采用衍射成像机构。使用具有80毫米光圈的薄膜摄像头进行了一系列地面实验,用于技术验证。由于衍射成像引起的固有色差出现在获得的数据中。为了解决问题,本文提出了通过匹配,剪裁和线性拉伸直方图的颜色恢复算法。实验结果表明,所提出的方法在衍射光学图像的颜色恢复方面具有良好的性能。还通过各种颜色偏差指标评估算法的有效性和鲁棒性。

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