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Detail Enhancement for Infrared Images Based on Propagated Image Filter

机译:基于传播图像滤波器的红外图像细节增强

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摘要

For displaying high-dynamic-range images acquired by thermal camera systems, 14-bit raw infrared data should map into 8-bit gray values. This paper presents a new method for detail enhancement of infrared images to display the image with a relatively satisfied contrast and brightness, rich detail information, and no artifacts caused by the image processing. We first adopt a propagated image filter to smooth the input image and separate the image into the base layer and the detail layer. Then, we refine the base layer by using modified histogram projection for compressing. Meanwhile, the adaptive weights derived from the layer decomposition processing are used as the strict gain control for the detail layer. The final display result is obtained by recombining the two modified layers. Experimental results on both cooled and uncooled infrared data verify that the proposed method outperforms the method based on log-power histogram modification and bilateral filter-based detail enhancement in both detail enhancement and visual effect.
机译:为了显示由热像仪系统获取的高动态范围图像,应将14位原始红外数据映射为8位灰度值。本文提出了一种新的红外图像细节增强方法,以显示具有相对令人满意的对比度和亮度,丰富的细节信息,并且没有图像处理引起的伪影的图像。我们首先采用传播图像过滤器来平滑输入图像,并将图像分为基础层和细节层。然后,我们通过使用修改后的直方图投影进行压缩来优化基础层。同时,从层分解处理获得的自适应权重被用作针对细节层的严格增益控制。通过重新组合两个修改后的图层可获得最终的显示结果。在冷却和未冷却的红外数据上的实验结果证明,该方法在细节增强和视觉效果上均优于基于对数幂直方图修改和基于双边滤波器的细节增强方法。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2016年第2期|9410368.1-9410368.12|共12页
  • 作者单位

    Northeastern Univ, Sch Mech Engn & Automat, Shenyang 110189, Peoples R China;

    Northeastern Univ, Sch Mech Engn & Automat, Shenyang 110189, Peoples R China;

    Northeastern Univ, Sch Mech Engn & Automat, Shenyang 110189, Peoples R China;

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