分段线性变换增强的自适应方法

A Research on the Piecewise Linear Transformation in Adaptive IR Image Enhancement

在对分段灰度变换方法进行分析的基础上,采用最小误差法实现了区间边界点的自适应计算,对不同灰度区间采用拉伸﹑保持和抑制等不同的处理,并对目标区间的拉伸系数进行了讨论。实验结果表明,算法简单,图像视觉效果得到较大改善。

This paper presents a new approach to the selection of the interval boundary point on the basis of the analysis of the piecewise linear grey level transformation. The pixels of an image are segmented into three sections. For the best result of vision, different transforms are taken for different sections. The selection of the tension rate of the target interval is also discussed. Experiments show that the method is valid and can be implemented readily in hardware.