CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Speeding Up the Bilateral Filter: A Joint Acceleration Way
Dai, Longquan; Yuan, Mengke; Zhang, Xiaopeng
AbstractComputational 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.
KeywordFast Bilateral Filter Best N-term Approximation Haar Functions Truncated Trigonometric Functions
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
Funding OrganizationNational Natural Science Foundation of China(61331018 ; China National High-Tech R&D Program (863 Program)(2015AA016402) ; 91338202 ; 61572405 ; 61571046)
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000375472600002
Citation statistics
Cited Times:10[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
AffiliationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
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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