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Color transfer based on steerable pyramid and hot contrast for visible and infrared images

机译:基于可操纵的金字塔和热对比度的可见光和红外图像的色彩转移

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A color transfer scheme for visible and infrared images is presented. Two main procedures are included: image fusion using steerable pyramid in YUV color space, color transfer based on local mean value of infrared image to enhance hot contrast. Firstly, visible and infrared images are decomposed into 18 subband images with a 4-scale 4-oriatation steerable pyramid that contains one highpass subands, one lowpass subband and sixteen bandpass subbands. In each suband image, Y component of the fused image is formed by the pixels whose value is the larger one between the visible and infrared images. The weighted subtracting operations between visible and infrared constitute the U and V components. Then, during the process of color transfer, the local gray mean in the 5 × 5 window of the infrared image is concerned. The V component that represents the difference between luminance(Y) and red color is increased by the ratio of the local mean value to the global mean value. Therefore, the hot contrast of infrared is enhanced by rendering hot targets intense red color. Test results show that, the image fusion with the 4-scale 4-oriatation steerable pyramid multiples the paths to transfer the color and luminance of a target image into the fused images, thus, the transferred images are much more colorful, and synchronously reserve the two image's advantage that the visible image is good at situation awareness and the infrared image is superior in target detection.
机译:提出了用于可见图像和红外图像的颜色转移方案。包括两个主要过程:在YUV颜色空间中使用可控金字塔进行图像融合,基于红外图像的局部平均值进行颜色转移以增强热对比度。首先,将可见光图像和红外图像分解为18个子带图像,并通过一个4阶4位可控金字塔来包含一个高通子带,一个低通子带和16个带通子带。在每个子图像中,融合图像的Y分量由像素组成,这些像素的值在可见图像和红外图像之间较大。可见光和红外光之间的加权减法运算构成了U和V分量。然后,在颜色转移过程中,要关注红外图像的5×5窗口中的局部灰度平均值。表示亮度(Y)和红色之间差异的V分量将以局部平均值与全局平均值之比增加。因此,通过使热目标呈现强烈的红色来增强红外的热对比度。测试结果表明,采用4尺度4定向可控金字塔的图像融合会倍增路径,从而将目标图像的颜色和亮度转换为融合图像,从而使传输的图像更加彩色,并同步保留图像。可见光图像具有良好的态势感知能力,红外图像具有更好的目标检测能力。

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