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Alternative TitleResearch of Infrared Images Detail Enhancement Based on Multi-Scale Decomposition
Thesis Advisor惠斌
Keyword红外图像 图像增强 双边滤波器 人眼视觉特性 小波变换
Call NumberTN215/C45/2016
Degree Discipline检测技术与自动化装置
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 AbstractWith the development of infrared imaging technology,infrared imaging system is widely used in every field. In a natural scene, infrared image usually has a high dynamic range, almost 12 to14 bit. While the dynamic range of the displaying device is relatively very limited, only 8bit wide. In order to display all the detail in the display device, the dynamic range need to be compressed. In order to keep the detail, the detail needs to be enhanced. Based on the reasons above, the infrared image enhancement technology has become an important research topic in the field of infrared imaging and has an important academic significance and application value. In this paper, we studied the infrared images enhancement, whose purpose is to enhance image details and its visual effects. The main contents of this article, including: Firstly, the infrared image gray enhancement methods are analyzed, summed and classified. Based on these, we determine the layering idea methods as our research direction. Secondly, we purpose a new method that combines the layering idea with the human visual properties to enhance the infrared image. The proposed method divides the infrared image into base layer and detail layer using bilateral filter. In the processing of base layer, we use the method of human visual properties to map the dynamic range into traditional display range. In the processing of detail layer, Adaptive Gain Control (AGC) method is used to enhance the edges adaptively and reduce the noise. Finally, the two parts are recombined and quantized to 8-bit domain. Then, because of the limit of the improvement of contrast, we proposed a new infrared image enhancement method that can suppresses the background clutter. Then according to different texture details in the different scale, we choose to enhance or suppress it. This can suppress the background clutter effectively. After all these operations, the metric used to quantitatively evaluate the enhancement effect of different methods is given by the root-mean-square contrast (RMSC) and entropy. Experimental results show that this algorithm exceeds most current image enhancement methods in solving the problems of low contrast and blurry detail. Programme has been written to test the experimental results conveniently.
Contribution Rank1
Document Type学位论文
Recommended Citation
GB/T 7714
陈宏宇. 基于多尺度分解的红外图像细节增强算法研究[D]. 沈阳. 中国科学院沈阳自动化研究所,2016.
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