基于直方图非线性拉伸的红外图像增强新算法

New algorithm of infrared image enhancement based on histogram nonlinear extension

由于受物体导热特性及环境的影响和红外热像系统的限制,红外图像普遍对比度低、边缘不够清晰,其中最典型的是图像的直方图分布过于集中,针对这一问题将图像压扩量化中的纵向非均匀分层思想延伸为图像直方图灰度轴的横向非均匀拉伸,提出了一种基于直方图分布特性的非线性拉伸增强算法。在此基础上,将直方图非线性拉伸与线性拉伸进行了试验对比。

Because of the influence of conduction of heat and environment and the limitation of the infrared imaging system, the contrast of infrared image is low, and the edge is commonly. Hereinto, the typical example is that the distribution of image histogram is excessively concentrated. Algorithm of image nonlinear extension enhancement based on distributing characteristic of histogram is presented, which spreads the uneven longitudinal arranging idea of image pressing\|extension digitalization into the uneven transverse extension of the image histogram. On the basis of presentation of algorithm, the enhancing effect of it is contrasted with that of histogram linear extension algorithm. \;