针对红外图像的特点,提出了一种基于平台直方图均衡化的自适应红外图像增强算法.该算法通过自适应地选择平台阈值,对红外图像进行增强处理,克服了采用一般直方图均衡化增强红外图像的缺点,同时算法的运算量远远小于其他平台直方图均衡化算法,便于实时实现.理论分析和仿真结果均表明,该算法对红外图像具有很好的增强效果,可较好的抑制背景的增强,突出目标.

In this paper, a new self adaptive contrast enhancement algorithm for infrared images is presented based on plateau histogram equalization. By self adaptively selecting threshold value, this algorithm can enhance objects efficiently , and constrain the background and noises greatly in infrared images. With the proposed method, the disadvantages of histogram equalization are overcome, and large computational amount decreased greatly compared to other plateau histogram equalization algorithm while achieving high contrast. Theory analysis and experiments show that it is an effective enhancement algorithm for infared images.