基于暗原色先验去雾原理的红外图像伪彩化增强方法研究

根据雾天红外图像的分析和判读需要，提出了一种新的预处理方法---基于暗原色先验去雾原理及HIS空间的伪彩变换方法。该方法应用于雾天红外灰度图像的处理时，可以显著增强目标与背景之间的对比度。实验表明，该方法可以较好地对雾天红外图像进行增强与显示。与传统的图像增强方法相比，该方法更有利于在雾天条件下对掠海飞行目标及海面目标的红外图像进行分析与判读。

Research on a Pseudo-color Enhancement Method for Infrared Images Based on Dark Channel Prior to Principle of Fog

According to the demand for analysis and interpretation of infrared images in the fog, a new preprocessing method based on the dark channel prior to the principle of fog and HIS space is proposed. The method can enhance the contrast between the target and the background remarkably when it is used for the processing of infrared images in the fog. The experimental results show that this method can enhance and display infrared images in the fog effectively. Compared with the traditional image enhancement method, it is more conductive to the analysis and interpretation of infrared images of sea-skimming flight targets and the targets at sea in the fog.