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红外图像的动态范围压缩和细节增强

Dynamic Range Compression and Detail Enhancement of Infrared Image

  • 摘要: 红外图像动态范围压缩和细节增强可有效地提高人眼对图像关键细节信息的获取能力,是红外成像的重要研究课题.针对传统双边滤波器不能最优划分细节层和基础层的问题,设计了区域约束双边滤波器,并提出一种基于该滤波器的红外图像动态范围压缩和细节增强方法.首先通过区域约束双边滤波器将原始红外图像分解为基础层和细节层;然后对基础层进行压缩,对细节层进行增强;最后将这2部分重新合成得到结果图像.实验结果表明,文中设计的滤波器可以更合理地划分图像信息,该方法在压缩图像动态范围的同时可有效地增强不同尺度细节,具有较强的鲁棒性.

     

    Abstract: Infrared image dynamic range compression and detail enhancement can effectively improve the human ability of catching information in image's important details.It is an improtant research topic of infrared imaging technology.Because classical bilateral filter can not decompose the original image properly,we design a region-restrained bilateral filter and propose a method on infrared image dynamic range compression and detail enhancement.The method,firstly,decomposes the original infrared image into a base layer and a detail layer by the region-restrained bilateral filter.Secondly,the base layer is compressed and the detail layer is enhanced.Finally,the two parts are recombined and get the result image.The experimental results show that the filter can divide information of the original image more properly.Moreover,the proposed method can robustly compress the dynamic range and effectively enhance the details of different scales.

     

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