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Optimal O(1) Bilateral Filter with Arbitrary Spatial and Range Kernels Using Sparse Approximation
- Source :
- Mathematical Problems in Engineering, Vol 2014 (2014)
- Publication Year :
- 2014
- Publisher :
- Hindawi Limited, 2014.
-
Abstract
- A number of acceleration schemes for speeding up the time-consuming bilateral filter have been proposed in the literature. Among these techniques, the histogram-based bilateral filter trades the flexibility for achievingO(1) computational complexity using box spatial kernel. A recent study shows that this technique can be leveraged forO(1) bilateral filter with arbitrary spatial and range kernels by linearly combining the results of multiple-box bilateral filters. However, this method requires many box bilateral filters to obtain sufficient accuracy when approximating the bilateral filter with a large spatial kernel. In this paper, we propose approximating arbitrary spatial kernel using a fixed number of boxes. It turns out that the multiple-box spatial kernel can be applied in manyO(1) acceleration schemes in addition to the histogram-based one. Experiments on the application to the histogram-based acceleration are presented in this paper. Results show that the proposed method has better accuracy in approximating the bilateral filter with Gaussian spatial kernel, compared with the previous histogram-based methods. Furthermore, the performance of the proposed histogram-based bilateral filter is robust with respect to the parameters of the filter kernel.
- Subjects :
- Mathematical optimization
Article Subject
General Mathematics
Gaussian
lcsh:Mathematics
General Engineering
Histogram matching
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Sparse approximation
lcsh:QA1-939
symbols.namesake
Kernel (image processing)
Variable kernel density estimation
lcsh:TA1-2040
Histogram
Computer Science::Computer Vision and Pattern Recognition
symbols
Kernel adaptive filter
Bilateral filter
lcsh:Engineering (General). Civil engineering (General)
Algorithm
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 15635147
- Volume :
- 2014
- Database :
- OpenAIRE
- Journal :
- Mathematical Problems in Engineering
- Accession number :
- edsair.doi.dedup.....4257d3072691cfc75b85ff5b81bcd5af