Abstract
Box filter is a fundamental filter in image processing. However, it can not preserve edges or corners. In this paper, we present a simple but novel method that can make box filter both edge and corner preserving. More specifically, we combine the box filter with sub-window regression to achieve this task. This filter inherits some properties from box filter, such as O(1) running time with respect to the window radius. After analyzing its parameters, we show its corner and edge preserving property on real images and compare it with Guided filter.
Original language | English |
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Title of host publication | VCIP 2018 - IEEE International Conference on Visual Communications and Image Processing |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781538644584 |
DOIs | |
Publication status | Published - 2 Jul 2018 |
Externally published | Yes |
Event | 33rd IEEE International Conference on Visual Communications and Image Processing, VCIP 2018 - Taichung, Taiwan, Province of China Duration: 9 Dec 2018 → 12 Dec 2018 |
Publication series
Name | VCIP 2018 - IEEE International Conference on Visual Communications and Image Processing |
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Conference
Conference | 33rd IEEE International Conference on Visual Communications and Image Processing, VCIP 2018 |
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Country/Territory | Taiwan, Province of China |
City | Taichung |
Period | 9/12/18 → 12/12/18 |
Keywords
- Box filter
- Curvature filter
- Edge preserving
- Sub window
- Sub window regression
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Gong, Y., Liu, B., Hou, X., & Qiu, G. (2018). Sub-window Box Filter. In VCIP 2018 - IEEE International Conference on Visual Communications and Image Processing Article 8698682 (VCIP 2018 - IEEE International Conference on Visual Communications and Image Processing). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VCIP.2018.8698682