基于模板分解的灰度图像颜色转换方法

Wu Yingnan
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引用次数: 0

摘要

针对传统灰度图像颜色转换方法存在的清晰度低、转换时间长等问题,提出了一种基于模板分解的灰度图像颜色转换新方法。根据模板分解原理,将原始灰度图像的模板分解为差分模板和通用模板,计算图像模板的边缘强度,增强图像的色彩平衡。在此基础上,对灰度图像的颜色转换通道的数据点进行了捕获。采用自适应采样策略对原始灰度图像进行重采样,提高图像清晰度。最后,通过多高斯混合模型完成颜色转换。实验结果表明,该方法在保证快速色彩转换的前提下,能够保证转换后图像的清晰度,表明该方法的实际应用性能较强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Color conversion method of gray image based on template decomposition
In order to overcome the problems of low definition and long conversion time in traditional gray image color conversion methods, a new gray image color conversion method based on template decomposition is proposed. According to the principle of template decomposition, the template of the original gray image is decomposed into difference template and common template to calculate the edge strength of the image template and enhance the color balance. Based on the above results, the data points of color conversion channel of gray image are captured. Adaptive sampling strategy is used to resample the original gray image to improve the clarity. Finally, the color conversion is completed through the multi Gaussian mixture model. The experimental results show that this method can ensure the clarity of the converted image under the premise of fast color conversion, which shows that the practical application performance of this method is strong.
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