SIA OpenIR  > 光电信息技术研究室
Alternative TitleStudy on Gray Mapping and Enhancement Methods of Infrared Image under Sea-surface Background
Thesis Advisor亓琳
Keyword红外图像 灰度映射 图像增强 自适应双边滤波 视觉显著性
Call NumberTP391.41/D66/2016
Degree Discipline控制工程
Degree Name硕士
Degree Grantor中国科学院沈阳自动化研究所
Place of Conferral沈阳
Other AbstractRadar/infrared compound guidance has the advantages of both radar guidance and infrared imaging guidance. It has many advantages, such as all-time, all-weather, strong anti-interference ability and so on, so it has great significance in military application. In order to obtain more information of the scene when performing infrared imaging under the sea surface background, we use the high resolution and high bit depth infrared focal plane array detector, but there are mainly two problems: the monitor cannot directly display the high bit depth image; the image quality is poor under the interference condition of glints light. To solve the above problems, this paper has studied gray level mapping and enhancement algorithm of high bit depth infrared image under sea-surface background, the main work is as follows: Bilateral filter combines the spatial domain and gray domain information of one pixel neighborhood, can maintain edge contour and texture details while smoothing the noise. But the parameter selection of bilateral filter has great impact on the results. This paper proposes an adaptive bilateral filter, its parameters can be adjusted automatically according to the content of the image, which can solve the problem that the parameters of artificial selection is not accurate. For the purpose of keeping details of high bit depth infrared image under sea-surface background while compressing the gray level, we propose a layered gray mapping method based on adaptive bilateral filtering for high bit depth infrared image under sea-surface background: firstly, the gray levels of original high bit depth infrared image are adjusted by redundancy processing, then the image is divided into base layer images and detailed layer image with adaptive bilateral filter, the base layer image's gray level is compressed by the Naka-Rushton equation, the layer detail image is adjusted by gamma transform after threshold processing, finally the base layer image and detailed layer image are superposed linearly. This algorithm can keep the texture details of ship targets and achieve good gray mapping result under different sea-surface scenes. About the poor imaging quality of targets under the interference condition of sea-surface glints light, we propose an image enhancement algorithm based on visual saliency: at first, ship candidate region is determined by the use of spectral residual significant detection method, and then the significant value of each pixel in the saliency map is redistributed to compute the gain matrix, after which the gain matrix and infrared sea-surface mapping image are superposed according to the proportion of two parts, ultimately we get the enhancement of infrared image. This algorithm can improve the contrast between the target and the sea surface background, and improve the visual effect of infrared image obviously. The research findings of this study have great application value, and has been used in a pre-research project.
Contribution Rank1
Document Type学位论文
Recommended Citation
GB/T 7714
董帅. 海面背景红外图像灰度映射及增强算法研究[D]. 沈阳. 中国科学院沈阳自动化研究所,2016.
Files in This Item:
File Name/Size DocType Version Access License
海面背景红外图像灰度映射及增强算法研究.(5056KB)学位论文 开放获取CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[董帅]'s Articles
Baidu academic
Similar articles in Baidu academic
[董帅]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[董帅]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.