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海面红外图像的动态范围压缩及细节增强
Alternative TitleDynamic range compression and detail enhancement of sea-surface infrared image
王园园1,2,3,4; 赵耀宏1,3,4; 罗海波1,3,4; 李方舟1,2,3,4
Department光电信息技术研究室
Source Publication红外与激光工程
ISSN1007-2276
2019
Volume48Issue:1Pages:1-9
Indexed ByEI ; CSCD
EI Accession number20191106621847
CSCD IDCSCD:6422055
Contribution Rank1
Funding Organization中国科学院国防创新基金资助课题(CXJJ-15-S109)
Keyword动态范围压缩 灰度级分组 细节增强 拉普拉斯增强 海面红外图像
Abstract动态范围压缩和细节增强是红外图像处理的两个重要课题。为了将高动态海面背景红外图像清晰显示,提出一种高动态范围压缩及细节增强算法。首先,通过基于梯度边缘信息的多方向拉普拉斯增强方法,将梯度图像平滑处理,并与多方向拉普拉斯滤波相乘,实现高动态范围图像的细节增强;然后统计增强后图像的动态广义直方图信息;最后采用灰度级分组的方法构造映射函数,将高动态范围压缩到8 bits,输出可清晰显示的红外图像。对大量海面背景红外图像进行实验分析,结果表明,该算法提高了图像的对比度,有效增强了舰船目标细节,同时抑制了海面背景噪声的放大和光晕现象的产生,最终获得较好的输出图像。
Other AbstractDynamic range compression and detail enhancement are two important issues for effectively displaying high dynamic range infrared (IR) images on standard dynamic range monitors. Sophisticated techniques are required in order to improve the visibility of the details without introducing distortions. To clearly show the highly dynamic infrared image of sea background, a high dynamic range compression and detail enhancement algorithm is presented which is made of three main steps. First, highly dynamic infrared image is enhanced by a multi-directional Laplacian enhancement method based on gradient edge information, and the first order gradient image smoothed is combined with multi-directional Laplacian filtering to enhance images. Second, the dynamic generalized histogram information of the enhanced image is obtained. Finally, the gray level grouping method is used to construct the mapping function, which maps 14 bits intensity in the input image to 8 bits intensity in the output image. As a result, infrared image with low dynamic range is obtained clearly. Experiments on a large number of sea-surface infrared images are conducted. The results verify that the proposed algorithm can improve the contrast of the image, effectively enhance the ship target details, suppress background noise amplification, and avoid the generation of halos. Therefore, the image with high quality is achieved.
Language中文
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/23553
Collection光电信息技术研究室
Corresponding Author王园园
Affiliation1.中国科学院沈阳自动化研究所
2.中国科学院大学
3.中国科学院光电信息处理重点实验室
4.辽宁省图像理解与视觉计算重点实验室
Recommended Citation
GB/T 7714
王园园,赵耀宏,罗海波,等. 海面红外图像的动态范围压缩及细节增强[J]. 红外与激光工程,2019,48(1):1-9.
APA 王园园,赵耀宏,罗海波,&李方舟.(2019).海面红外图像的动态范围压缩及细节增强.红外与激光工程,48(1),1-9.
MLA 王园园,et al."海面红外图像的动态范围压缩及细节增强".红外与激光工程 48.1(2019):1-9.
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