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

机译:一种高效的红外和可见图像的自然色彩融合方法

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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增强融合(CEF)方法,用于合并红外和彩色可见图像。 该方法将原始RGB颜色可见图像转换为感知的去相关颜色空间,以便分别处理消色差和色组分。 消色差分量和红外图像通过灰度熔融方案组合,并且原始的消色差组分被灰度融合图像代替。 在数据重新转换到RGB颜色空间之前,原始消色组件和灰度融合图像之间的装置和差异由线性重新映射匹配。 重新映射程序可以相当于增强最终颜色融合图像的对比度。 我们使用CEF方法合并了长波红外和彩色电视图像。 实验结果表明,该方法可以有效地生产具有与原始颜色可见图像相似的自然特性的高对比度颜色融合图像

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