一种基于直方图非线性变换的图像对比度增强方法

An Image Enhancement Algorithm Based on Histogram Nonlinear Transform

针对可见光图像的特性,提出一种基于直方图分段非线性插值的对比度增强处理技术.通过将整幅图像分为背景段、过渡段和目标段,依据各部分的特点分别对不同的灰度段采用直方图非线性拉伸,即根据各段直方图的分布特性进行图像直方图灰度轴的横向非均匀拉伸,并采用基于冗余去除的灰度均衡方法实现图像增强.实验结果表明,该技术有效地增强了图像的对比度,同时抑制了背景噪音.

Aiming at the character of visible image,a new contrast intensitying technique is presented usmg segmented histogram nonlinear extension. For the image being intensified effectively, the specific image is cut into three parts （target area,transition area and background area）. Based on the characteristic of each part, different gray scale transforms are designed to carry out image nonlinear transform （the uneven transverse extension of the image histogram）. Then using the gray-level redundancy equilibrating. The result shows that the technique can increase the contrast and suppressing the background.