用于飞行员视觉增强的快速红外图像增强方法

摘要

A fast infrared image enhancement method based on parallel processing of sub-block image is presented. Based on parallel processing ofsub-block image, Four aigorithms are synthetically used to process infrared image quickly, which include the improved median filtering algorithm, the quick Sobei edge detection algorithm, the independent weighted average image fusion algorithm. The improved median filtering algorithm is better than MTM; the independent weighted average image fusion algorithm that can adjust weight independently, whose antinoise ability is better than the weights selection algorithm which is based on contrast ratio of region. The new method that process parallel sub-block images, after dividing image to sub-block images, that is quicker than common methods. All in all, speed and result of this fast infrared image enhancement method are perfeet.%提出了一种基于图像分块并行处理的快速的红外图像增强的方法.在对图像进行分块并行处理的基础上,综合利用改进的中值滤波算法、快速Sobel边缘检测算法、自适应权值的加权平均图像融合算法对红外图像进行快速处理.改进的中值滤波算法效果好于MTM算法,自适应权值的加权平均图像融合算法比基于区域对比度的权值选择法更好地抑制噪声,对图像进行分块并行处理,提高了图像处理的速度.实验结果表明,提出的方法能够快速优质地对红外图像进行增强.