摘要
大雾天气条件下获取图像时,由于大气的吸收和散射以及在成像过程中系统发生振颤等,会得到退化的带雾模糊图像。而目前存在双重退化因素图像的研究比较缺乏,因此提出了一种新的用于描述带雾模糊图像的退化过程的数学模型。该模型在传统的大气散射模型和模糊退化模型的基础上,以带雾模糊图像的实际生成过程作为依据进行推导,可以描述双重退化因素导致的图像退化过程。使用该模型可以复原序列带雾模糊图像,实验结果表明复原效果良好。
When capturing images in foggy weather, images will be degraded as hazy and blurred due to absorption and scattering of the atmosphere and vibration of the system in the imaging process. However, existing research mainly focus on handling single degradation factors. In view of this situation, a new degradation model of hazy and blurred image is proposed. The proposed model is derived from the actual generation process of hazy and blurred images, and which is based on the existing atmospheric degradation model and hazy degradation model. Therefore, the proposed model can precisely reflect the actual image degradation process caused by double factors.Experimental results show that multi-frame hazy and blurred images can be successfully restored with the assistance of the proposed model.
作者
王梦迪
WANG Mengdi(Nanjing Normal University Zhongbei College,Zhenjiang Jiangsu 212300,China)
出处
《信息与电脑》
2022年第21期180-183,共4页
Information & Computer
关键词
带雾模糊图像
大气散射模型
模糊退化模型
双重退化因素
图像复原
hazy and blurred image
atmospheric degradation model
hazy degradation model
double factors
image restoration
