2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDCIS-1.3
Paper Title Interactive Portrait Bokeh Rendering System
Authors Juewen Peng, Xianrui Luo, Ke Xian, Zhiguo Cao, Huazhong University of Science and Technology, China
SessionCIS-1: Computational Imaging Systems
LocationArea J
Session Time:Monday, 20 September, 15:30 - 17:00
Presentation Time:Monday, 20 September, 15:30 - 17:00
Presentation Poster
Topic Computational Imaging Systems: Computational Photography
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Portrait bokeh rendering has become a hot topic in computer vision and graphics in recent years. Existing methods usually suffer from noticeable artifacts around foreground boundaries and unrealistic rendering effects. To tackle these problems, we design a brand new bokeh system in this paper. The system is comprised of three modules: depth estimation, portrait matting, and bokeh rendering. The introduction of the portrait matting module makes it possible to preserve the details of portraits in final rendering results. In bokeh rendering modules, we propose two pixelwise rendering methods which are based on light gathering and light scattering to render realistic bokeh effect. For flexibility and interactivity. We provide two parameter interfaces, i.e., aperture size and bokeh salience to adjust rendering details according to the preferences of different users. Finally, experimental results on our synthetic dataset and real images demonstrate the effectiveness of our proposed method.