一种改进的雾天监控图像增强算法

视频监控或激光成像在大气环境监测中有着广泛应用，然而在雾天条件下获取的图像不可避免存在视觉质量降低问题。针对雾天图像对比度增强以及噪声抑制的需要，提出了一种改进的雾天图像增强算法。首先对原图像进行正反双向的双直方图均衡处理与融合，然后重复采用上述方法对融合图像的小波分解低频系数矩阵进行增强处理，最后将处理结果和高频系数矩阵进行小波重构得到输出图像。实验结果表明，该算法处理雾天监控图像能够取得较好的对比度增强与噪声抑制性能。

An Improved Enhancement Algorithm of Fog Surveillance Image

Video surveillance or laser imaging is widely used in atmospheric environment monitoring, but the image quality is inevitably reduced in fog weather. In order to meet the need of contrast enhancement and noise suppression in foggy image, an improved image enhancement algorithm for foggy image is proposed. Firstly, the original image is enhanced by bidirectional histogram equalization processing and fusion. Then the same method is used to deal with the low-frequency coefficient matrix which obtained by wavelet decomposition of the last fused image. Finally the output image can be obtained by wavelet reconstruction of the processing result and the high frequency coefficient matrix. Experimental results show that the proposed algorithm can achieve better contrast enhancement and noise suppression performance in fog surveillance images.