一种新的红外焦平面阵列非均匀性代数校正算法

贺明, 王新赛, 路建方, 吴强, 徐华亮

贺明, 王新赛, 路建方, 吴强, 徐华亮. 一种新的红外焦平面阵列非均匀性代数校正算法[J]. 应用光学, 2011, 32(6): 1217-1221.
引用本文: 贺明, 王新赛, 路建方, 吴强, 徐华亮. 一种新的红外焦平面阵列非均匀性代数校正算法[J]. 应用光学, 2011, 32(6): 1217-1221.
HE Ming, WANG Xin-sai, LU Jian-fang, WU Qiang, XU Hua-liang. New algebraic scene-based non-uniformity correction in infrared focal plane array[J]. Journal of Applied Optics, 2011, 32(6): 1217-1221.
Citation: HE Ming, WANG Xin-sai, LU Jian-fang, WU Qiang, XU Hua-liang. New algebraic scene-based non-uniformity correction in infrared focal plane array[J]. Journal of Applied Optics, 2011, 32(6): 1217-1221.

一种新的红外焦平面阵列非均匀性代数校正算法

详细信息
    通讯作者:

    贺明(1981-),江苏人,博士研究生,主要从事红外图像处理和成像系统设计工作。

  • 中图分类号: TN219

New algebraic scene-based non-uniformity correction in infrared focal plane array

  • 摘要: 针对传统红外图像非均匀性代数校正算法收敛速度慢、运动估计精度不高的缺点,提出一种多尺度光流帧间运动估计的非均匀代数校正算法。通过时域低通滤波,采用多尺度光流估计下一帧图像,将所得图像对进行代数校正。该方法性能在自主研发的热像仪中得到验证,和传统的红外图像非均匀性代数校正算法相比,算法收敛速度从60帧提高到25帧,提高一倍左右,运动估计精度从校正后图像方差76.539减少到32.482。
    Abstract: Since traditional non-uniformity correction algorithm has slow convergence and inaccurate prediction, a multi-scale optical flow motion estimation based algorithm is developed. Random image noise between frames is filtered by time-domain low-pass filter, and the next frame is estimated by using the multiscale optical flow, then the non-uniformity correction is carried out. This algorithm is demonstrated in the thermal imager developed by us. Compared with the traditional non-uniformity correction algorithm, the convergence rate of this algorithm decreases form 60 frames to 25 frames; the precision of prediction is improved by 100%, and the corrected image variance is decreased from 76.539 to 32.482.
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出版历程
  • 刊出日期:  2011-11-14

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