基于改进暗通道算法的红外图像去雾

Infrared Image Dehazing Based on Improved Dark Channel Prior

为了提高红外图像去雾效果,提出改进暗通道算法。首先利用近红外光在天空区域与非天空区域的穿透能力不同,天空区域的红外能量相对非天空区域能量较小,通过红外有雾图像的能量差异性划分为天空区域、非天空区域;接着天空区域的大气光值通过滑动窗口的像素亮度平均值计算,透射率考虑近红外波段衰减,非天空区域的大气光值、透射率通过改进暗通道算法计算;最后通过各区域大气光值、透射率恢复出无雾图像。实验结果表明,本文算法对红外图像去雾结果清晰,图像细节信息较好,评价指标较优。

To improve the effectiveness of infrared image dehazing, an improved dark channel was proposed. First, because the penetration ability of near-infrared light in the sky region is different from that in the non-sky region, and the infrared energy in the sky region is smaller than that in the non-sky region,the region was divided into sky and non-sky regions using the energy difference. Second, the atmospheric light value of the sky region was calculated using the average pixel brightness of the sliding window, the near-infrared wave attenuation was considered for the transmittance, and the atmospheric light value and transmittance of the non-sky region were calculated using the improved dark channel algorithm. Finally,the dehazed image was recovered from the atmospheric light value and transmittance of each region. The experimental results show that the dehazing output of the infrared image was clearer, the image detail information was better, and the evaluation index was better than those of other algorithms.