雾天自然场景图像的色差补偿修复算法仿真

Color Compensation Repair Algorithm Simulation for Fog Images of Natural Scenes

雾天自然场景图像受到浓雾噪点抑制导致色差,需要进行色差修复补偿,提高图像质量。提出一种基于光线滤波平滑处理的雾天自然场景图像的色差补偿修复算法。进行雾天自然场景的色差特征模型构建和雾天背景建模算法设计,采用光线滤波平滑处理方法进行色差补偿,通过光线滤波来获得能量函数的极小化解,实现图像去雾处理,提高了雾天场景图像的修复性能,提高图像成像质量。仿真实验结果表明,采用该算法进行浓雾环境下的自然场景图像色差补偿修复,性能较好,归一化最小平方误差较低,成像效果较好。

The fog scene image noise suppression caused by heavy color, color to repair compensation, improve the quality of the image. Put forward a kind of smoothing filtering of the fog light natural scene image in-painting algorithm based on color compensation. The color feature model of fog natural scene construction and fog background modeling algorithm de-sign, using light filter smoothing method for chromatic aberration compensation, through the light filter to obtain minimum energy function to resolve, to achieve image enhancement processing, improves the fog image restoration performance, im-prove the image quality, the simulation results show that by using the algorithm, natural scene image color compensation re-pair, fog under the environment of good performance, the normalized least square error is low, good imaging results.