Speeding Up the Bilateral Filter: A Joint Acceleration Way
Dai, Longquan; Yuan, Mengke; Zhang, Xiaopeng
2016-06-01
发表期刊IEEE TRANSACTIONS ON IMAGE PROCESSING
卷号25期号:6页码:2657-2672
文章类型Article
摘要Computational complexity of the brute-force implementation of the bilateral filter (BF) depends on its filter kernel size. To achieve the constant-time BF whose complexity is irrelevant to the kernel size, many techniques have been proposed, such as 2D box filtering, dimension promotion, and shiftability property. Although each of the above techniques suffers from accuracy and efficiency problems, previous algorithm designers were used to take only one of them to assemble fast implementations due to the hardness of combining them together. Hence, no joint exploitation of these techniques has been proposed to construct a new cutting edge implementation that solves these problems. Jointly employing five techniques: kernel truncation, best N-term approximation as well as previous 2D box filtering, dimension promotion, and shiftability property, we propose a unified framework to transform BF with arbitrary spatial and range kernels into a set of 3D box filters that can be computed in linear time. To the best of our knowledge, our algorithm is the first method that can integrate all these acceleration techniques and, therefore, can draw upon one another's strong point to overcome deficiencies. The strength of our method has been corroborated by several carefully designed experiments. In particular, the filtering accuracy is significantly improved without sacrificing the efficiency at running time.
关键词Fast Bilateral Filter Best N-term Approximation Haar Functions Truncated Trigonometric Functions
WOS标题词Science & Technology ; Technology
DOI10.1109/TIP.2016.2549701
关键词[WOS]IMAGES
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61331018 ; China National High-Tech R&D Program (863 Program)(2015AA016402) ; 91338202 ; 61572405 ; 61571046)
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000375472600002
引用统计
被引频次:9[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/12212
专题模式识别国家重点实验室_多媒体计算与图形学
作者单位Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
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Dai, Longquan,Yuan, Mengke,Zhang, Xiaopeng. Speeding Up the Bilateral Filter: A Joint Acceleration Way[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2016,25(6):2657-2672.
APA Dai, Longquan,Yuan, Mengke,&Zhang, Xiaopeng.(2016).Speeding Up the Bilateral Filter: A Joint Acceleration Way.IEEE TRANSACTIONS ON IMAGE PROCESSING,25(6),2657-2672.
MLA Dai, Longquan,et al."Speeding Up the Bilateral Filter: A Joint Acceleration Way".IEEE TRANSACTIONS ON IMAGE PROCESSING 25.6(2016):2657-2672.
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