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用图像类比方法实现艺术风格学习

陈海旭, 李文辉, 张岩, 孟宇, 王彤   

  1. (吉林大学 计算机科学与技术学院, 长春 130012)
  • 收稿日期:2005-03-07 修回日期:1900-01-01 出版日期:2006-03-26 发布日期:2006-03-26
  • 通讯作者: 李文辉

Artistic Style Learning with Image Analogy

CHEN Hai-xu, LI Wen-hui, ZHANG Yan, MENG Yu, WANG Tong   

  1. (College of Computer Science and Technology, Jilin University, Changchun 130012, China)
  • Received:2005-03-07 Revised:1900-01-01 Online:2006-03-26 Published:2006-03-26
  • Contact: LI Wen-hui

摘要: 提出一种基于实例的非真实感图像绘制算法, 该算法利用基于块的纹理合成方法, 在搜索匹配过程中应用粒子群优化算法加快纹理合成速度. 通过参数的调整控制匹配块在结构与细节间的倾向性, 只要输入一个艺术风格画样本就可以把该图的绘画风格传输到目标图中, 从而实现图像类比.

关键词: 纹理合成, 粒子群优化, 图像类比, 艺术风格学习

Abstract: This paper presents an example-based non-photorealistic image rendering algorithm, which employs the patch-based texture synthesis approach, as well as speeds up the texture synthesis process by exploiting particle swarm optimization during the matching search process. This algorithm also accomplishes the orientation control of matching patches in structure and details through appropriate parameter setting. Once a certain sample image with an artistic style is presented, the algorithm can accomplish image analogies by transferring the style to the target.

Key words: texture synthesis, particle swarm optimization, image analogy, artistic style learning

中图分类号: 

  • TP391.41