CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Bilateral filter acceleration based on weighted variable projection
Yuan, Mengke1,2; Zhang, Xiaopeng1,2
AbstractDue to the heavy computation cost, the bilateral filter cannot be applied to real-time applications. To deal with this problem, many range kernel approximation based acceleration schemes have been proposed. However, all these methods use predefined basis function and assign the same penalisation for all range values to fulfil range kernel approximation. These constraints block from further improving the filtering accuracy and speed. Employing weighted variable projection, a new acceleration method which achieves state-of-the-art performance is proposed. This is done by: (i) unleashing the constraint of using fixed basis function; (ii) exploiting the colour distribution information of the input image to perform a weighted approximation of the range kernel. Experiments demonstrate the superiority of the proposed method in gaining more accurate filtering results efficiently.
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
Funding OrganizationNational Natural Science Foundation of China(61571046 ; (6140001010207) ; 61502490 ; 61620106003 ; 61501464 ; 61331018)
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000427955500012
Citation statistics
Document Type期刊论文
Affiliation1.Univ Chinese Acad Sci, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Yuan, Mengke,Zhang, Xiaopeng. Bilateral filter acceleration based on weighted variable projection[J]. ELECTRONICS LETTERS,2018,54(6):352-353.
APA Yuan, Mengke,&Zhang, Xiaopeng.(2018).Bilateral filter acceleration based on weighted variable projection.ELECTRONICS LETTERS,54(6),352-353.
MLA Yuan, Mengke,et al."Bilateral filter acceleration based on weighted variable projection".ELECTRONICS LETTERS 54.6(2018):352-353.
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