基于局部直方图规定化的红外图像非均匀性校正

摘要

非均匀性噪声严重影响着红外焦平面阵列的成像质量。针对条纹非均匀性问题，提出了一种基于局部直方图规定化的红外图像非均匀性校正算法。该算法对图像逐列进行处理，首先采用文中提出的加权折中直方图方法计算得到每一列图像的期望直方图，然后对当前图像列进行直方图规定化处理，最后遍历整幅图像实现非均匀性校正。实验结果表明，本文算法能够有效地抑制红外图像的条纹非均匀性噪声，同时较好地保留了图像的边缘轮廓信息。%　　The non-uniformity of infrared focal plane array(IRFPA)has serious effects on image qualities of infrared system. A new non-uniformity correction algorithm based on local histogram specification (LHS)is proposed. Firstly, connect each column of the image to a neuron, and compute a local expectation histogram with Gaussian weights. Then, specify the histogram of current column with the expectation histogram. Finally, correct the non-uniformity throughout the infrared image. The experimental results show that the new algorithm could effectively correct the non-uniformity of the infrared image as well as maintain the edge information.