一种基于直方图的自适应红外图像增强算法

A Self-adaptive Enhancement Algorithm for Infrared Images Based on Histogram

在分析常用的红外图像增强算法优缺点的基础上,针对红外图像的特点,提出了一种基于直方图的自适应红外图像增强算法。该算法设置了阈值和放大系数2个参数,根据阈值把图像直方图分为2部分,用放大系数和常数1分别代替直方图中两部分的灰度级像素数作为新的直方图,最后用新的直方图对图像进行直方图均衡化处理得到增强图像。通过在自主研发的热像仪中验证,表明该算法适应性强,增强效果好,算法简单,易于在FPGA硬件平台上实现。

Based on analysis of commonly used infrared image enhancing algorithms, a self-adaptive enhancement algorithm for infrared images based on histogram is given according to the character of infrared image. Threshold and magnifying coefficient are set for this algorithm. The histogram is divided into two parts according to threshold value. Then two histogram parts are replaced respectively by magnifying coefficient and 1 to get a new histogram. The enhanced image is achieved by histogram equalization algorithm with the new histogram. By application in self-developing thermal imager, it is proved that the algorithm which is easy to implement with FPGA has great adaptability, excellent image enhancing and real time performance.