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An Efficient Natural-Looking Color Fusion Method of Infrared and Visible Images

机译:红外和可见光图像的高效自然色彩融合方法

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A novel contrast enhanced fusion (CEF) method is presented for merging infrared and color visible images. The method transforms the original RGB color visible image into a perceptually decorrelated color space in order to treat the achromatic and chromatic components separately. The achromatic component and infrared image are combined by a grayscale fusion scheme, and the original achromatic component is replaced by the grayscale fused image. Before the data are retransformed back into the RGB color space, the means and variances between the original achromatic component and the grayscale fused image are matched by a linear remapping. The remapping procedure can fairly enhance the contrast of the final color fused image. We used the CEF method to merge long wave infrared and color TV images. The experimental results show that the proposed method can effectively produce a high-contrast color fused image with the similar natural characteristics as the original color visible image
机译:提出了一种新颖的对比度增强融合(CEF)方法,用于合并红外图像和彩色可见图像。该方法将原始RGB颜色可见图像转换为在感知上去相关的颜色空间,以便分别处理消色差和色度分量。消色差分量和红外图像通过灰度融合方案进行组合,原始的消色差分量被灰度融合图像替代。在将数据重新转换回RGB颜色空间之前,通过线性重新映射匹配原始消色差分量和灰度融合图像之间的均值和方差。重新映射过程可以公平地增强最终颜色融合图像的对比度。我们使用CEF方法合并长波红外和彩色电视图像。实验结果表明,该方法可以有效地产生与原始彩色可见图像具有相似自然特征的高对比度彩色融合图像。

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