微分约束法红外条纹非均匀校正
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浙江省自然科学基金项目(No.LY18F050007);国家自然科学基金项目(No.61405052);广州市科技计划项目(No.201704020182);广东省水利科技创新项目(No.2017-23)资助


Infrared stripe non-uniformity correction based on differential constraints
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    摘要:

    红外成像过程中常出现条纹非均匀性噪声,基于场景的校正方法可以有效地减少条纹噪声的影响。本文提出了一种基于微分约束条纹非均匀噪声校正方法。首先分析了红外图像条纹非均匀噪声的灰度分布特性,根据图像在水平及竖直方向梯度的差异建模并构造惩罚函数;通过引入权重函数,对惩罚函数进行最优化推导求解得到校正图像。通过真实场景的实验,对校正结果的主客观分析表明本文方法较对比方法有所提升,对于图像的细节和边缘的破坏程度较小,同时本文方法运行更快并实现了硬件化测试。

    Abstract:

    Infrared imaging is often disturbed by stripe non-uniformity noise,while scene-based correction method can effectively reduce the influence of stripe noise.A stripe non-uniformity correction method based on differential constraint is proposed.Firstly,the gray distribution of stripe non-uniformity is analyzed and the penalty function is constructed by the difference of horizontal gradient and vertical gradient.By introducing the weight function,the penalty function is optimized to obtain the corrected image.Compared with other methods,experiments on real scenes show that the proposed method performs better in both subjective and objective analysis,and has less damage to image’s edge and detail.Meanwhile,the proposed method runs faster,and it is well applied in hardware.

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华玮平,赵巨峰,崔光茫,公晓丽,朱礼尧.微分约束法红外条纹非均匀校正[J].激光与红外,2018,48(7):930~936
HUA Wei-ping, ZHAO Ju-feng, CUI Guang-mang, GONG Xiao-li, ZHU Li-yao. Infrared stripe non-uniformity correction based on differential constraints[J]. LASER & INFRARED,2018,48(7):930~936

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  • 在线发布日期: 2018-08-08
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