| 夜视图像局部颜色传递算法 |
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| 引用本文： | 薛模根,周浦城,刘存超.夜视图像局部颜色传递算法[J].红外与激光工程,2015,44(2):781-785. |
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| 作者姓名： | 薛模根 周浦城 刘存超 |
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| 作者单位： | 1.陆军军官学院军用光电技术与系统实验室,安徽合肥230031; |
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| 摘 要： | 针对基于全局统计信息颜色传递过程中存在的染色效果不能很好保持图像色彩的自然性,局部区域颜色与真实场景的颜色不符、目标变淡的问题,提出一种夜视图像局部颜色传递算法。首先,采用稀疏表示的方法对红外与微光图像融合;其次,对得到的融合图像进行非线性扩散,扩散结果采用核模糊均值聚类算法进行图像分割;然后,在YCbCr颜色空间对红外与微光图像块进行颜色传递;最后,把得到的彩色图像块组合成一幅图像,随后用得到的灰度融合图像来表征YCbCr空间的Y通道。实验结果表明,文中算法得到的彩色图像更加自然、真实。
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| 关 键 词： | 彩色夜视 颜色传递 图像分割 非线性扩散 |
| 收稿时间： | 2014-06-15 |
A novel local color transfer method for night vision image |
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| Xue Mogen,Zhou Pucheng,Liu Cunchao.A novel local color transfer method for night vision image[J].Infrared and Laser Engineering,2015,44(2):781-785. |
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| Authors: | Xue Mogen Zhou Pucheng Liu Cunchao |
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| Affiliation: | 1.Laboratory of Military Electro-Optical Technology and System,Army Officer Academy of PLA,Hefei 230031,China;2.Anhui Provincial Key Laboratory of Polarized Light Imaging Detection Technology,Hefei 230031,China |
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| Abstract: | A natural global color mapping method matches the statistical properties of night vision imagery to those of a daylight color image. Thus the rendered night vision image appears to resemble the natural target image in terms of color appearance and the reference image is not automatically selected. However, the colored night vision image may appear unnatural if the target image's global color statistics are different from that of the night vision scene. And then target is not easy to be detected because the color of target and background is similarity. Consequently, a new local color transfer method was presented. Firstly, the infrared (IR) and low-level-light (LL) images were fused by using sparse representation. Secondly, a nonlinear diffusion filter was applied to the gray fused image. The diffused image segmented by Kernel fuzzy C-mean algorithm. Finally, the IR and LL images block were color fused by using color transfer technology in the YCbCr color space, where the Y component of the color image was replaced with the fused image, which is a gray scale image made with multi-band night vision images. Experimental result shows that the obtained image has more natural and realistic coloration compared with global coloring method. |
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| Keywords: | coloring night-vision color transfer image segmentation nonlinear diffusion |
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