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Image dehazing method by fusing weighted near-infrared image

机译:通过融合加权近红外图像的图像去吸收方法

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摘要

We propose a novel color image dehazing method based on fusing a visible and a near-infrared (NIR) images of the same scene. In outdoor scenes, image contrast of the captured images is likely to be lost by haze. Near-infrared light is less scattered than visible light because of its long wavelength; therefore the NIR images have the contrast enough. Our approach restores the image contrast by fusing detail components of the NIR image into the visible image. To prevent overemphasizing haze-free regions by NIR information, we introduce weighting the NIR image using the transmission map. Experimental results show that our method outperforms conventional methods.
机译:我们提出了一种基于熔断的新颖的彩色图像去吸收方法,其具有相同场景的可见光和近红外(NIR)图像。在户外场景中,捕获图像的图像对比可能会被阴霾丢失。由于其长波长,近红外光比可见光较少;因此,NIR图像足够对比度。我们的方法通过将NIR图像的详细组件融合到可见图像中来恢复图像对比度。为了防止NIR信息封闭无雾区域,我们使用传输映射引入加权NIR图像。实验结果表明,我们的方法优于常规方法。

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