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A Novel Fusion Scheme for Infrared and Visual Images Based on Wavelet and Color Transfer Algorithm

机译:基于小波和色彩转移算法的红外与视觉图像融合新方案

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The pseudo-color processing for infrared (IR) image is useful for object detection and tracking. Image fusion of IR and visual images is an effectual scheme for pseudo-color processing. But in some conditions, we only have the IR images of the scene. How to perform a pseudo-color processing for these IR images is a difficult and interesting problem. In the paper, a novel image fusion method based on wavelet and color transfer is proposed. With wavelet and color transfer, the chromaticity values of the color visual image are assigned to the IR image. By the method, the IR and visual images can be fused even if the scenes of two images are not the same one. The only requirement of the method is that the compositions of the source and target scenes resemble each other. The experimental results show that the algorithm can give IR image a natural color appearance. Such a full color representation of nighttime scenes may be of great ergonomic value by making the interpretation of the displayed scene easier (more intuitive) for the observer.
机译:红外(IR)图像的伪彩色处理对于对象检测和跟踪很有用。 IR和视觉图像的图像融合是伪彩色处理的有效方案。但是在某些情况下,我们只有场景的红外图像。如何对这些IR图像执行伪彩色处理是一个困难而有趣的问题。提出了一种基于小波和色彩转移的图像融合新方法。通过小波和彩色传输,彩色可视图像的色度值分配给IR图像。通过该方法,即使两个图像的场景不相同,也可以融合IR图像和视觉图像。该方法的唯一要求是源场景和目标场景的组成彼此相似。实验结果表明,该算法可以使红外图像具有自然的色彩外观。通过使观察者更容易(更直观)地解释所显示的场景,夜间场景的这种全彩色表示可能具有很大的人体工程学价值。

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