Color Enhancement in Image Fusion

Chao Zhang, Azhar A. Sufi
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引用次数: 4

Abstract

We propose an innovative approach to enhance the color in image fusion. Previous work in color fusion has focused on the pseudo-color fusion. The color components are directly related to or linearly combined with the luminance images in different modalities. However, no work has been done to study the effects on the chrominance in the fused image when the luminance is significantly changed. For example, when objects in the visible image are dark but bright in the IR image, the fused objects become brighter. The color in the fused image looks pale. If the IR signal is strong enough such that the fused objects become saturated, the color is washed out. To solve these problems, we propose a gamma correction function to the normalized color components. The gamma function is a function of the difference between the fused result and the luminance of the visible image. In order to recover the chrominance in saturated region, we designed a damping function to drag the pixels in the saturated region closer to the visible image. We also discuss the orthogonalization of color bands in the correlated color space. The orthogonalization helps reduce the color skew during color enhancement.
图像融合中的色彩增强
提出了一种增强图像融合色彩的创新方法。以往的色彩融合研究主要集中在伪色彩融合上。颜色分量与不同模态的亮度图像直接相关或线性结合。然而,目前还没有研究当亮度发生显著变化时对融合图像色度的影响。例如,当可见光图像中的物体暗而红外图像中的物体亮时,融合后的物体会变得更亮。融合图像的颜色看起来很苍白。如果红外信号足够强,以至于融合的物体变得饱和,颜色就会被洗掉。为了解决这些问题,我们提出了一个归一化颜色分量的伽玛校正函数。伽马函数是融合结果与可见图像亮度之差的函数。为了恢复饱和区域的色度,我们设计了一个阻尼函数,将饱和区域的像素点向可见图像拉近。我们还讨论了相关色彩空间中色带的正交化问题。正交化有助于减少色彩增强过程中的色彩倾斜。
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