基于视觉传达技术的弱光照图像增强方法  

A method of low light image enhancement based on visual communication technology

作　　者：吴文勇[1] 曾玲[1] WU Wenyong;ZENG Ling(Yancheng Teachers University,Yancheng Jiangsu 224000,China)

机构地区：[1]盐城师范学院,江苏盐城224000

出　　处：《激光杂志》2023年第12期86-91,共6页Laser Journal

基　　金：江苏省高校自然科学研究项目(No.14KJB520040)。

摘　　要：由于利用激光技术在弱光照条件下采集的图片容易出现图像细节丢失、分辨率下降等现象。为此针对该类图像,提出基于视觉传达技术的弱光照图像增强方法。先分析弱光照图像的退化情况,生成弱光照图像的退化模型,分割提取出原始图像中的模糊区域,有针对性地对其进行增强处理。添加视觉传达技术,利用最大后验概率以及最大似然函数预测实现弱光照激光图像的增强。实验结果表明,应用所提方法对图像进行增强处理后,其偏色情况小,最高仅为0.211,在不同信噪比下图像的增强效果均较好,且增强后的信息熵、峰值信噪比、平均梯度分别为12.684、33.546和11.987,均超过原图像的2倍,具有一定应用价值。The images collected by laser technology under low light conditions are prone to loss of image details and resolution degradation.Aiming at this kind of image,a weak light image enhancement method based on visual communication technology is proposed.First,analyze the degradation of the weak light image,generate the degrada-tion model of the weak light image,segment and extract the fuzzy areas in the original image,and enhance them.Add visual communication technology,and use the maximum a posteriori probability and maximum likelihood function pre-diction to enhance the weak light laser image.The experimental results show that after the proposed method is used to enhance the image,its color deviation is small,the maximum is only 0.211,and the image enhancement effect is good under different signal-to-noise ratios,and the enhanced information entropy,peak signal-to-noise ratio,and average gradient are 12.684,33.546,and 11.987 respectively,which are more than twice of the original image,so it has cer-tain application value.

关 键 词：视觉传达技术 弱光照图像 图像增强 退化模型 分割提取 

分 类 号：TN247[电子电信—物理电子学]