优选特征指导下雾化图像背景抑制算法仿真

Simulation Algorithm of Image Background Suppression Atomization in Guidance of Optimized Feature Selection

雾化图像的浓雾背景抑制是提高雾天环境下成像的分辨力和图像质量的有效技术,在浓雾环境下雾化图像的边缘雾点受到暗原色干扰,去雾效果不好.提出一种基于优选特征指导下的雾化图像背景抑制算法.通过对雾化图像进行光线滤波平滑处理,采用雾化图像的暗原色特征增强方法实现对雾化图像背景抑制,采用雾化图像的暗原色特征增强方法实现对雾化图像背景抑制算法改进,提高了图像的分辨能力.仿真结果表明,采用该方法进行雾化图像去雾背景抑制,能较为平稳地拟合雾化图像的雾化点,降低图像的归一化最小平方误差,提高去雾效能.

The atomization image fog background suppression is an effective technique to improve the quality of image resolution and fog imaging,in the dense fog environment,the fog atomizing image is affected by the interference of dark colors,the defogging effect is not good.An optimized mage background suppression algorithm is proposed under the guidance of atomization characteristics.By the light of atomization image smoothing,using dark channel characteristics of image enhancement method to suppress the atomization of image background,using dark channel characteristics of atomization image enhancement method to achieve improved suppression algorithm of atomization image background,image resolution is improved.The simulation results show that,using this method to suppress the background fog atomization image,it can smoothly fitting image atomization point,reduce the normalized least square error of the image,it can improve the efficiency of the fog.