摘要
针对红外图像对比度增强的问题,提出了一种新方法。首先对直方图去冗余与灰度线性拉伸,然后利用最小误差阈值法将图像分割成两部分,结合平台直方图与双直方图均衡化,在每部分单独使用平台直方图均衡化。为了提升算法的自适应性,对分割后各部分进行直方图对数变换代替平台阈值的选取。实验表明,该算法效果较好,且完全自适应,适用于多种红外图像。
A new approach to the problem of infrared image contrast enhancement is proposed. First,the redundancy of histogram is removed and grayscale range is extended by linear stretch. Then,combined with the platform histogram and bi-histogram equalization,the image is divided into two parts through minimum error threshold method and platform equalization is used in each part. The histogram logarithmic transformation is adopted instead of platform threshold selection to enhance adaptability of the algorithm. The experimental result shows that this algorithm has good effect and fully adaptability so that it is applicable to a variety of infrared images.
出处
《电子科技》
2014年第9期5-7,12,共4页
Electronic Science and Technology
关键词
红外图像
对比度增强
平台直方图
双直方图
对数变换
infrared image
contrast enhancement
plateau equalization
bi-histogram
logarithmic transformation
