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海面背景红外图像灰度映射及增强算法研究
Alternative TitleStudy on Gray Mapping and Enhancement Methods of Infrared Image under Sea-surface Background
董帅1,2
Department光电信息技术研究室
Thesis Advisor亓琳
ClassificationTP391.41
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
Pages66页
Degree Discipline控制工程
Degree Name硕士
2016-05-25
Degree Grantor中国科学院沈阳自动化研究所
Place of Conferral沈阳
Abstract雷达/红外复合制导兼具雷达制导和红外成像制导的优势,具有全天时、全天候、抗干扰能力强等诸多优点,军事应用意义重大。在海面背景下进行红外成像时为了获取更多的场景信息,采用分辨率较高的高位深红外焦平面阵列探测器,主要面临两个问题:一是显示器不能直接显示高位深图像;二是鱼鳞光干扰条件下目标成像质量较差。针对以上问题本文对高位深海面背景红外图像的灰度映射及增强算法进行了深入研究,主要工作如下:双边滤波器结合了邻域像素的空间域与灰度域信息,能够在平滑噪声的同时保持边缘轮廓和纹理细节,但是双边滤波器的参数选择对处理结果影响很大。本文提出了一种自适应双边滤波器,参数能根据图像内容进行自动调整,解决了参数人工选择不准确的问题。压缩高位深海面背景红外图像的灰度级时为了保留图像中的细节信息,本文提出了一种基于自适应双边滤波分层的高位深海面背景红外图像灰度映射算法:首先对原始高位深红外图像进行灰度级冗余处理,然后使用自适应双边滤波器将图像分为基础层图像和细节层图像,基础层图像采用Naka-Rushton方程进行灰度级压缩,细节层图像在阈值处理后通过伽马变换进行调整,最后线性叠加处理后的基础层图像和细节层图像。实验表明该算法不仅能够保持舰船目标的纹理细节,而且能够适应不同的海面场景。针对鱼鳞光干扰条件下目标成像质量较差的问题,本文提出了一种基于视觉显著性的海面背景红外图像增强算法:首先使用谱残差显著性检测方法确定舰船目标候选区域,然后将显著图中各像素的显著值重新分配计算增益矩阵,之后将增益矩阵与灰度映射后的海面背景红外图像按比例叠加,最终获得增强后的红外图像。该算法能够提高舰船目标与海面背景之间的对比度,明显改善红外图像的视觉效果。本文的研究成果具有较高的工程应用价值,已在某预研项目中得到应用。
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.
Language中文
Contribution Rank1
Document Type学位论文
Identifierhttp://ir.sia.cn/handle/173321/19619
Collection光电信息技术研究室
Affiliation1.中国科学院沈阳自动化研究所
2.中国科学院大学
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.
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