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Hybrid fusion and interpolation algorithm with near-infrared image

机译:具有近红外图像的混合融合和插值算法

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摘要

Silicon-based digital cameras can record visible and near-infrared (NIR) information, in which the full color visible image (RGB) must be restored from color filter array (CFA) interpolation. In this paper, we propose a unified framework for CFA interpolation and visible/NIR image combination. To obtain a high quality color image, the traditional color interpolation from raw CFA data is improved at each pixel, which is constrained by the corresponding monochromatic NIR image in gradient difference. The experiments indicate the effectiveness of this hybrid scheme to acquire joint color and NIR information in real-time, and show that this hybrid process can generate a better color image when compared to treating interpolation and fusion separately.
机译:基于硅的数码相机可以记录可见光和近红外(NIR)信息,其中必须从彩色滤光片阵列(CFA)插值恢复全彩色可见图像(RGB)。在本文中,我们为CFA插值和可见/近红外图像组合提出了一个统一的框架。为了获得高质量的彩色图像,从原始CFA数据在每个像素处改进了传统的颜色插值,这受相应的单色NIR图像在梯度差方面的约束。实验表明该混合方案实时获取联合颜色和NIR信息的有效性,并表明与单独处理插值和融合相比,该混合过程可以生成更好的彩色图像。

著录项

  • 来源
    《Frontiers of computer science in China》 |2015年第3期|375-382|共8页
  • 作者单位

    Image Processing Center, School of Astronautics, Beihang University, Beijing 100191, China;

    National Key Laboratory of CNS/ATM, School of Electronics and Information Engineering, Beihang University, Beijing 100191, China;

    Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Automation, Tsinghua University, Beijing 100084, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    image fusion; color filter array (CFA); interpolation; demosaicing;

    机译:图像融合彩色滤光片阵列(CFA);插值去马赛克;

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