基于暗通道先验和CLAHE的红外图像增强算法

Infrared image enhancement algorithm based on dark channel prior and CLAHE

红外成像设备自身特性造成红外图像具有对比度低、边缘模糊、噪声较多等特点。针对这些特点,提出一种基于暗通道先验和CLAHE的红外图像增强算法。使用暗通道先验方法对降质的红外图像进行处理,在去除图像中大部分噪声的同时保留更多图像细节。使用暗通道先验处理过的图像具有整体偏暗的特点,采用CLAHE方法对这些图像进行亮度的提升。实验结果表明,该算法的增强效果优于常见的几种红外图像增强算法。

Infrared images are often characterized by low contrast and edge blur, more noise and so on caused by infrared image equipment. Considering the characteristics of infrared images, an infrared image enhancement algorithm based on dark channel prior （DCP） and contrast-based limited adaptive histogram equalization （CLAHE） was proposed. The original infrared image was transformed with 1212P as the initial enhanced result. Most of the noises in the original infrared image were removed and more image details were preserved. The initial enhanced result was still relatively dark, so the CLAHE method was used to im- prove the image brightness. Experimental results show that the proposed algorithm is better than other traditional enhancement algorithms.