基于灰度等间距密度均衡的红外图像增强算法

针对红外图像具有高背景，低反差的特点，提出了一种基于灰度级等间距密度均衡的红外图象自适应增强方法。该方法以图像灰度相关理论为基础，采用窗口递推的方式，自适应地选择直方图窗口，获得高低阈值，再通过灰度线性变换及灰度级等间距密度均衡，增大图像灰度动态范围，获得细节丰富灰度连续的图像。理论分析和实验结果均表明，该算法克服了平台直方图均衡引起的灰度断层现象，有效地增强了红外图像的对比度，提高了图像质量。

Infrared Images Enhancement Based-on Balanced Spacing Density of Gray-Scale Equalization

For Infrared images with the background of high and low contrast features,a new adaptive enhancement was put forward based on the balanced spacing density of gray-scale equalization.According to the gray-scale image theory,we used the recursive window,selected the histogram window adaptively and got the high and low thresholds.then,through the gray linear translation and the balanced spacing density of gray-scale,the gray-scale image dynamic range is inereased and the infrared images isobtained with rich de...