CIOMP OpenIR  > 中科院长春光机所知识产出
Gaussian mixture model-based gradient field reconstruction for infrared image detail enhancement and denoising
Zhao, F.; J. Zhao; W. D. Zhao and F. Qu
2016
发表期刊Infrared Physics & Technology
卷号76
摘要Infrared images are characterized by low signal-to-noise ratio and low contrast. Therefore, the edge details are easily immerged in the background and noise, making it much difficult to achieve infrared image edge detail enhancement and denoising. This article proposes a novel method of Gaussian mixture model-based gradient field reconstruction, which enhances image edge details while suppressing noise. First, by analyzing the gradient histogram of noisy infrared image, Gaussian mixture model is adopted to simulate the distribution of the gradient histogram, and divides the image information into three parts corresponding to faint details, noise and the edges of clear targets, respectively. Then, the piecewise function is constructed based on the characteristics of the image to increase gradients of faint details and suppress gradients of noise. Finally, anisotropic diffusion constraint is added while visualizing enhanced image from the transformed gradient field to further suppress noise. The experimental results show that the method possesses unique advantage of effectively enhancing infrared image edge details and suppressing noise as well, compared with the existing methods. In addition, it can be used to effectively enhance other types of images such as the visible and medical images. (C) 2016 Elsevier B.V. All rights reserved.
文章类型期刊
收录类别SCI ; EI
语种英语
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/57465
专题中科院长春光机所知识产出
推荐引用方式
GB/T 7714
Zhao, F.,J. Zhao,W. D. Zhao and F. Qu. Gaussian mixture model-based gradient field reconstruction for infrared image detail enhancement and denoising[J]. Infrared Physics & Technology,2016,76.
APA Zhao, F.,J. Zhao,&W. D. Zhao and F. Qu.(2016).Gaussian mixture model-based gradient field reconstruction for infrared image detail enhancement and denoising.Infrared Physics & Technology,76.
MLA Zhao, F.,et al."Gaussian mixture model-based gradient field reconstruction for infrared image detail enhancement and denoising".Infrared Physics & Technology 76(2016).
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Gaussian mixture mod(2520KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhao, F.]的文章
[J. Zhao]的文章
[W. D. Zhao and F. Qu]的文章
百度学术
百度学术中相似的文章
[Zhao, F.]的文章
[J. Zhao]的文章
[W. D. Zhao and F. Qu]的文章
必应学术
必应学术中相似的文章
[Zhao, F.]的文章
[J. Zhao]的文章
[W. D. Zhao and F. Qu]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Gaussian mixture model-based gradient field reconstruction for infrared image detail enhancement and denoising.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。