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图学学报

• 专论:第12届中国计算机图形学大会 (CHINAGRAPH 2018 广州) • 上一篇    下一篇

一种基于图像结构特征的实时点画生成算法

  

  1. 1. 长安大学信息工程学院,陕西 西安 710064;
    2. 中国科学院大学计算机控制学院,北京 100049; 
    3. 中国科学院软件研究所,北京 100190;
    4. 中国科学院自动化研究所,北京 100190
  • 出版日期:2019-06-30 发布日期:2019-08-02
  • 基金资助:
    中央高校基本科研业务费专项资金(310824173401)

Structure-Based Real-Time Image Stippling

  1. 1. School of Information Engineering, Chang’an University, Xi’an Shaanxi 710064, China;  
    2. School of Computer and Control, University of Chinese Academy of Sciences, Beijing 100049, China; 
    3. Institute of Software, Chinese Academy of Sciences, Beijing 100190, China;  
    4. Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
  • Online:2019-06-30 Published:2019-08-02

摘要: 点画是一种经典的艺术技巧,其用点的形式模拟图像中色调的明暗变化,表现其 艺术特质。由图像自动生成点画是图像风格化和非真实感渲染的对象之一。为此,提出了一种 基于图像结构特征的实时点画生成算法。使用一个预计算的增量 Voronoi 序列快速生成点画所 需的采样点,通过输入图像和对应的结构特征图共同指导点画图中点的半径和色调,提高点画 图像在边缘及细节上的质量。实验结果表明,该算法生成的点画结果在视觉效果和数值误差 (SSIM)上均优于现有点画生成算法,并且在绘制速度上能够达到实时的性能,可应用于高帧率 的场景中。

关键词: 点画, 风格化, 图像处理, 非真实感绘制

Abstract: Stippling is a classical art technique that uses small dots to simulate varying degrees of solidity or shading and show its artistry. Generating stippling from image is one of the targets of image stylization and non-photorealistic rendering. In this paper, we propose a structure-based real-time image stippling algorithm. A pre-computed incremental Voronoi sequence is employed to generate sample points for stippling. To improve the quality on the edge and detail regions, we introduced input image and its corresponding image structure information to guide the radius and tone of the stipples. Experiments show that the stippling generated by pro-posed method is superior to the state-of-the-arts in visual and numerical error (SSIM). Our proposed algorithm can achieve real-time performance and apply to high frame rate scenes.

Key words: stippling, stylization, image processing, non-photorealistic rendering