红外双边滤波时域高通非均匀性校正

红外焦平面阵列的非均匀性噪声是制约红外成像质量的主要因素。本文在研究了传统的时域高通滤波法及其两种改进算法的基础上,提出了一种改进的基于双边滤波的非均匀性自适应校正算法,在这种方法中引入了一个由双边滤波系数矩阵推得的二次校正矩阵,该矩阵能够判别原始图像与双边滤波所得图像的差图像中场景的边缘部分,并进行自适应的抑制,使校正参数的计算更加准确。实验部分通过对加模拟噪声图像序列和实际非均匀性图像的校正证明本文的改进算法比其他两种改进算法有更好的校正效果。

Improved temporal high-pass filter nonuniformity correction based on bilateral filter

The nonuniformity noise in the infrared focal plane is a major factor which limits the quality of infrared image.By analyzing the traditional high pass filtering algorithm and two of its improved correction methods,a new improved adaptive correction method based on bilateral filter is presented.A second correction matrix which is derived from the bilateral filter coefficient matrix is introduced.This matrix can distinguish edges of the scene from the difference image of the original image and bilateral filtering image,and inhibit them adaptively to make the correction parameters more accurate.In experimental part,the new algorithm is compared with the other two improved algorithms by correcting the same video sequence added with simulated noise and the same images with real uniformity to prove that it can achieve a better effect of correction.