We propose a novel natural complex image colorization algorithm.
本文提出了全新的复杂自然图像上色算法。
Colorization of grayscale image is in general an active and challenging area of research in image processing.
黑白图像的彩色化是图像处理领域一个活跃的、有挑战性的研究课题。
In contrast, false colorization means the image originally has a color attribute but such an attribute has been lost in the imaging process and the technique intends to imitate the actual scene.
与之对应，假彩色的处理对象本应具有颜色，但是颜色在成像过程中丢失，因此要利用彩色化来模拟真实的场景。
Simulation results show that the proposed algorithm outperforms previous method in speeding up the colorization process and meanwhile improving the image quality.
实验结果表明，与其他彩色化方法相比，该方法能在缩短运行时间的同时，有效提高彩色化质量。
Simulation results show that the proposed algorithm outperforms previous method in speeding up the colorization process and meanwhile improving the image quality.
实验结果表明，与其他彩色化方法相比，该方法能在缩短运行时间的同时，有效提高彩色化质量。
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