摘要
针对传统红外图像动态范围压缩和对比度增强方法对原始图像信息保留不足的缺点,提出了一种基于最优映射曲线的红外图像动态范围压缩和对比度增强方法。利用自适应高斯核函数卷积原始红外图像的直方图,用平滑后直方图的一阶导实现原始直方图灰度分割,用分割结果计算得到最优的非线性映射曲线参数,得到增强后的低动态范围图像。对大量的红外图像进行了实验并对增强效果进行了定性和定量评价。结果表明,相较于目前已有的方法,该方法在最小化图像增强前后均方误差的同时,明显改善了图像的整体视觉效果;该方法处理速度快、自动化程度高,适合红外图像视频的实时处理。
Aiming at the drawback of conventional algorithms to compress dynamic range and enhance infrared images, which cannot preserve sufficient information of the original image, a new method based on the optimal mapping curve is proposed. The histogram of the original infrared image is convolved with an adaptive Gaussian kernel. Then, the first derivative of the smoothed histogram is utilized to accomplish segmentation of the original image. The segmented image is calculated to obtain an optimal nonlinear mapping curve, and then the enhanced image with low dynamic range is obtained. The experiment based on a large amount of infrared images is carried out and the processing results are evaluated qualitatively and quantitatively. The experimental results show that compared with the existing method, the proposed method can minimize the mean square error of the enhanced image compared algorithm with its is fast, origin. Meanwhile, it can significantly improve the overall visual effect of the image. This highly automotive and suitable for real-time processing of infrared videos
出处
《中国激光》
EI
CAS
CSCD
北大核心
2013年第12期211-218,共8页
Chinese Journal of Lasers
基金
中国科学院知识创新工程国防科技创新重要项目(YYYJ-1122)
关键词
图像处理
红外
动态范围压缩
图像增强
均方误差
image processing
infrared
dynamic range compression
image enhancement
mean square error
作者简介
吴泽鹏（1988-），男，硕士研究生，主要从事红外图像非均匀矫正、红外图像增强等方面的研究。E—mail：wuzepeng@mail．ustc．edu．cn
导师简介：宣明（1956-），男，研究员，博士生导师，主要从事MEMS技术、精密机械等方面的研究。E-mail：xuanm@ciomp．ac．cn
