Colorization of Mountainous Landscape Images in Grayscale Using Texture Feature Analysis

Ji Maan Kim, Xiaozheng Zhang
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Abstract

Colorization of black and white images is a difficult task due to the lack of color information in the monochrome space. In this paper, we propose an automated approach to produce realistic colorizations using texture classification. We limit our subjects to mountain landscapes where there is an identifiable number of textures. Our proposed model of colorization remains robust throughout test images we used. The paper further discusses a brief guideline for developing a problem-specific colorization such as landscapes.
基于纹理特征分析的灰度山区景观图像着色
由于单色空间中缺乏色彩信息,黑白图像的着色是一项困难的任务。在本文中,我们提出了一种使用纹理分类自动生成逼真着色的方法。我们将主题限制在具有可识别数量的纹理的山地景观上。我们提出的着色模型在我们使用的测试图像中仍然是健壮的。本文进一步讨论了开发特定问题着色的简要指南,如景观。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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