自适应红外图像直方图均衡增强算法

针对红外图像的特点,本文提出了一种自适应红外图像直方图均衡增强算法.该方法根据原始图像的直方图,自适应地构造出一个加权函数对原始图像的直方图进行加权处理,然后采用加权后的直方图对原始图像进行直方图均衡化.算法不需要人为指定阈值,而且克服了传统直方图均衡提升红外图像背景的缺点.实验结果表明,该算法对红外图像具有较好的增强效果,能够有效地抑制图像的背景,突出目标.

Self-adaptive Histogram Equalization Enhancement Algorithm for Infrared Image

A new adaptive contrast enhancement algorithm for infrared images is presented based on histogram equalization.By analyzing the histogram of infrared image,a weight function is gotten adaptively by which the original image’s histogram is weighed.Then,conventional histogram equalization is performed on the original image based on the weighed histogram.With the proposed method,threshold is not needed.Moreover,disadvantages that histogram equalization enhances background are overcome.The proposed algorithm is used to enhance the contrast of infrared images generated from an infrared focal plane array system.Results illustrate that contrasts of processed image are improved significantly.Theoretical analysis and experimental results also show that it is an effective enhancement algorithm for most infrared images.