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Multi-scale fusion algorithm of intensity and polarization-difference images based on edge information enhancement

机译：基于边缘信息增强的强度与极化差异图像多尺度融合算法

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摘要

To better integrate complementary and redundant information from different source images, improve the edge information, and facilitate the target detection. A multi-scale fusion algorithm of intensity and polarization-difference (PD) images based on edge information enhancement is proposed. Firstly, intensity images are obtained by the polarization information analysis method. PD images are obtained by the adaptive polarization-difference imaging approach based on the principle of minimum mutual information. Secondly, guided filter, affine transformations and Block-Matching and 3D filtering are embedded in visibility enhancement to improve the intensity and PD images. Thirdly, the two images are decomposed into high-frequency and low-frequency images by the dual-tree complex wavelet transform (DT-CWT). The high-frequency and low-frequency images are fused by the fusion rules based on edge detection and the regional variance matching degree respectively. Finally, the fusion image is obtained by the inverse DT-CWT. Experimental results demonstrate that fusion images of the proposed algorithm are significantly improved in information entropy, average gradient, and spatial frequency. Compared with the existing methods, it can achieve a better edge enhancement for images in a turbid medium.
机译：为了更好地集成来自不同源图像的互补和冗余信息，改善边缘信息，并促进目标检测。提出了一种基于边缘信息增强的强度和极化差（PD）图像的多尺度融合算法。首先，通过偏振信息分析方法获得强度图像。通过基于最小相互信息的原理，通过自适应偏振差成像方法获得PD图像。其次，引导过滤器，仿射变换和块匹配和3D滤波嵌入在可视性增强中以改善强度和PD图像。第三，通过双树复合小波变换（DT-CWT）将这两个图像分解成高频和低频图像。高频和低频图像分别由融合规则融合，分别是边缘检测和区域方差匹配程度。最后，通过逆DT-CWT获得融合图像。实验结果表明，在信息熵，平均梯度和空间频率中，所提出的算法的融合图像显着改善。与现有方法相比，它可以实现混浊介质中的图像的更好的边缘增强。

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  • 来源
    《Optical and quantum electronics》 |2019年第6期|178.1-178.24|共24页
  • 作者

    Zhao Ruxue; Liu Lei; Kong Xiangyu; Jiang Shan; Chen Xu;

  • 作者单位

    Nanjing Univ Sci & Technol Sch Elect & Opt Engn Nanjing 210094 Jiangsu Peoples R China;

    Nanjing Univ Sci & Technol Sch Elect & Opt Engn Nanjing 210094 Jiangsu Peoples R China;

    Nanjing Univ Sci & Technol Sch Elect & Opt Engn Nanjing 210094 Jiangsu Peoples R China;

    Nanjing Univ Sci & Technol Sch Elect & Opt Engn Nanjing 210094 Jiangsu Peoples R China;

    Nanjing Univ Sci & Technol Sch Elect & Opt Engn Nanjing 210094 Jiangsu Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Image fusion; Polarization-difference image; Guided filter; Edge detection;

    机译：图像融合;偏振差异图像;引导滤波器;边缘检测;

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