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基于视觉传达的低亮度激光图像细节信息增强方法

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针对激光图像亮度较低,导致内部细节信息缺失,图像应用性下降等问题,提出基于视觉传达的低亮度激光图像细节信息增强方法。从视觉传达角度出发将低照度激光图像转换为Lab色彩模式,采用Curvelet变换将激光图像分解为高频分量与低频分量,利用细节增强网络模型增强高频分量,通过基于照度图估计的微光图像增强方法增强低频分量,融合增强后的高、低频分量,实验结果显示,采用该方法对所选图像进行细节信息增强处理后,各图像的信息熵均高于8。35以上,而对比度与相关系数则分别在0。846和0。815以上,增强后的图像更符合人眼视觉特性。
A method for enhancing detail information of low brightness laser images based on visual communication
A low brightness laser image detail information enhancement method based on visual communication is proposed to address the issues of low brightness laser images,resulting in missing internal detail information and de-creased image applicability.From the perspective of visual communication,the low illumination laser image is conver-ted into Lab color mode.The laser image is decomposed into high-frequency and low-frequency components using the Curvet transform.The high-frequency components are enhanced using a detail enhancement network model.The low-frequency components are enhanced using a low light level image enhancement method based on illuminance map esti-mation,and the enhanced high-frequency and low-frequency components are fused.The experimental results show that,After using this method to enhance the detail information of the selected images,the information entropy of each image is higher than 8.35,and the contrast and correlation coefficients are higher than 0.846 and 0.815,respective-ly.The enhanced images are more consistent with human visual characteristics.

visual communicationlow brightnesslaser imagesenhancement of detailed informationcolor mode conversionCurvelet transform decomposition

陈晨、孙琳

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桂林学院,广西桂林 541006

视觉传达 低亮度 激光图像 细节信息增强 色彩模式转换 Curvelet变换分解

广西壮族自治区高等学校中青年教师科研基础能力提升项目

2020KY55028

2024

激光杂志
重庆市光学机械研究所

激光杂志

CSTPCD北大核心
影响因子:0.74
ISSN:0253-2743
年,卷(期):2024.45(4)
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