Speeding Up the Bilateral Filter: A Joint Acceleration Way
文献类型：期刊论文
| 作者 | Dai, Longquan ; Yuan, Mengke; Zhang, Xiaopeng
|
| 刊名 | IEEE TRANSACTIONS ON IMAGE PROCESSING
 |
| 出版日期 | 2016-06-01 |
| 卷号 | 25期号:6页码:2657-2672 |
| 关键词 | Fast Bilateral Filter Best N-term Approximation Haar Functions Truncated Trigonometric Functions |
| DOI | 10.1109/TIP.2016.2549701 |
| 文献子类 | Article |
| 英文摘要 | 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. |
| WOS关键词 | IMAGES |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000375472600002 |
| 资助机构 | National Natural Science Foundation of China(61331018 ; China National High-Tech R&D Program (863 Program)(2015AA016402) ; 91338202 ; 61572405 ; 61571046) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12212]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队 |
| 作者单位 | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：自动化研究所
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