Title :
Fast bilateral filtering using motion detection
Author :
Lei, Zengrong ; Su, Zhuo
Author_Institution :
Nat. Eng. Res. Centre of Digital Life, Sun Yat-sen Univ., Guangzhou, China
Abstract :
In this paper, considering the information redundancy in video, a new fast bilateral filtering based on motion detection is proposed. The main idea of the method is using frame difference to detect the change area between two consecutive frames in the video, and then only filter the changed area; the unchanged part can directly use the filtering result of the previous frame at the corresponding position. Unlike traditional fast bilateral filtering, the algorithm in this paper focuses on how to accelerate in the time domains in video. Previous methods concentrated on accelerating in the space domain in single-frame. Experimental results show that the method proposed can greatly accelerate bilateral filtering while achieving high quality in video processing.
Keywords :
filtering theory; image motion analysis; nonlinear filters; object detection; video signal processing; change area detection; fast bilateral filtering; frame difference; information redundancy; motion detection; nonlinear filter; video processing; Acceleration; Feature extraction; Filtering; Filtering algorithms; Motion detection; Optical filters; Redundancy; fast bilateral filtering; feature image; frame difference; motion detection;
Conference_Titel :
Image Analysis and Signal Processing (IASP), 2011 International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-1-61284-879-2
DOI :
10.1109/IASP.2011.6109050