摘要
为了将有雾天气的模糊图片进行复原,以提取图片中的信息,本文基于MATLAB提出了一种利用数字图像处理技术的去雾方法,首先建立衰减模型,其次运用空间域直方图均衡化对图像进行处理,再次对像素点进行优化,通过运用线性化、非线性化、改进型算法对雾天灰度图像进行清晰化增强处理,最后对仿真处理结果进行对比分析。通过分析得出,改进型算法可以更准确地恢复灰度图像的颜色和细节,从而大幅改善图像的清晰度。
In order to recover foggy blurred images from foggy weather and extract information from images, a method of defogging using digital image processing technology is proposed based on MATLAB. Firstly, attenuation model is established, secondly, image is processed by histogram equalization in spatial domain;secondly, pixels are optimized, three processing methods, linearization, non-linearization and improved algorithm, are used to enhance the clarity of fog gray image;finally, the simulation results are compared and analyzed. The analysis shows that the improved algorithm can more accurately restore the color and details of gray image, thus greatly improving the image clarity.
作者
姚晶晶
张宏伟
YAO Jing-jing;ZHANG Hong-wei(Daqing Normal University, Daqing 163712 China)
出处
《科技创新与生产力》
2019年第9期78-81,共4页
Sci-tech Innovation and Productivity
基金
黑龙江省大学生创新创业训练计划项目(201910235022)