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Infrared image enhancement based on novel multiscale feature prior

机译：基于新颖的多尺度特征先验的红外图像增强

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摘要

Infrared images have shortcomings of background noise, few details, and fuzzy edges. Therefore, noise suppression and detail enhancement play crucial roles in the infrared image technology field. To effectively enhance details and eliminate noises, an infrared image processing algorithm based on multiscale feature prior is proposed. First, the maximum a posterior model estimating optimal free-noise results is constructed and discussed. Second, based on the extended 16 high-order differential operators and multiscale features, we propose a structure feature prior that is immune to noises and depicts infrared image features more precisely. Third, with the noise-suppressed image, the final image is enhanced by the improved multiscale unsharp mask algorithm, which enhances details and edges adaptively. Finally, testing infrared images in different signal-to-noise ratio scenes, the effectiveness and robustness of the proposed approach is analyzed. Compared with other well-established methods, the proposed method shows the evident performance in terms of noise suppression and edge enhancement.
机译：红外图像具有背景噪声，细节少和边缘模糊的缺点。因此，噪声抑制和细节增强在红外图像技术领域中起着至关重要的作用。为了有效地增强细节并消除噪声，提出了一种基于多尺度特征先验的红外图像处理算法。首先，构建并讨论了估计最优自由噪声结果的最大后验模型。其次，基于扩展的16个高阶微分算子和多尺度特征，我们提出了一种结构特征，该特征具有抗噪声能力，并且可以更精确地描绘红外图像特征。第三，对于经噪声抑制的图像，通过改进的多尺度不锐化蒙版算法可以增强最终图像，该算法可以自适应地增强细节和边缘。最后，在不同信噪比场景下测试红外图像，分析了该方法的有效性和鲁棒性。与其他公认的方法相比，该方法在噪声抑制和边缘增强方面表现出明显的性能。

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  • 来源
    《Optical engineering》 |2017年第4期|043101.1-043101.14|共14页
  • 作者

    Zunlin Fan; Duyan Bi; Lei Xiong; Wenshan Ding; Shan Gao; Cheng Li;

  • 作者单位

    Air Force Engineering University, Aeronautics and Astronautics Engineering College, Xi'an, China;

    Air Force Engineering University, Aeronautics and Astronautics Engineering College, Xi'an, China;

    Air Force Engineering University, Aeronautics and Astronautics Engineering College, Xi'an, China;

    Air Force Engineering University, Aeronautics and Astronautics Engineering College, Xi'an, China;

    Air Force Engineering University, Aeronautics and Astronautics Engineering College, Xi'an, China;

    Air Force Aviation University, Military Simulation Technology Institute, Changchun, Jilin, 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

    prior; multiscale features; infrared image processing; noise suppression; image enhancement;

    机译：事前多尺度特征;红外图像处理;噪声抑制;图像增强;

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