Abstract
In this paper, we propose an infinite impulse response (IIR) filtering with complex coefficients for Euclid distance based filtering, e.g. bilateral filtering. Recursive filtering of edge-preserving filtering is the most efficient filtering. Recursive bilateral filtering and domain transform filtering belong to this type. These filters measure the difference between pixel intensities by geodesic distance. Also, these filters do not have separability. The aspects make the filter sensitive to noises. Bilateral filtering does not have these issues, but it is time-consuming. In this paper, edge-preserving filtering with the complex exponential function is proposed. The resulting stack of these IIR filtering is merged to approximated edge-preserving in FIR filtering, which includes bilateral filtering. For bilateral filtering, a raised-cosine function is used for efficient approximation. The experimental results show that the proposed filter, named IIR bilateral filter, approximates well and the computational cost is low.
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings |
| Publisher | IEEE Computer Society |
| Pages | 2458-2462 |
| Number of pages | 5 |
| Volume | 2017-September |
| ISBN (Electronic) | 9781509021758 |
| DOIs | |
| Publication status | Published - 2018 Feb 20 |
| Event | 24th IEEE International Conference on Image Processing, ICIP 2017 - Beijing, China Duration: 2017 Sep 17 → 2017 Sep 20 |
Other
| Other | 24th IEEE International Conference on Image Processing, ICIP 2017 |
|---|---|
| Country | China |
| City | Beijing |
| Period | 17/9/17 → 17/9/20 |
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Keywords
- Bilateral filter
- Complex exponential coefficient
- Edge-preserving filter
- IIR bilateral filter
- Recursive filter
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Signal Processing
Cite this
Complex coefficient representation for IIR bilateral filter. / Fukushima, Norishige; Sugimoto, Kenjiro; Kamata, Seiichiro.
2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings. Vol. 2017-September IEEE Computer Society, 2018. p. 2458-2462.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Complex coefficient representation for IIR bilateral filter
AU - Fukushima, Norishige
AU - Sugimoto, Kenjiro
AU - Kamata, Seiichiro
PY - 2018/2/20
Y1 - 2018/2/20
N2 - In this paper, we propose an infinite impulse response (IIR) filtering with complex coefficients for Euclid distance based filtering, e.g. bilateral filtering. Recursive filtering of edge-preserving filtering is the most efficient filtering. Recursive bilateral filtering and domain transform filtering belong to this type. These filters measure the difference between pixel intensities by geodesic distance. Also, these filters do not have separability. The aspects make the filter sensitive to noises. Bilateral filtering does not have these issues, but it is time-consuming. In this paper, edge-preserving filtering with the complex exponential function is proposed. The resulting stack of these IIR filtering is merged to approximated edge-preserving in FIR filtering, which includes bilateral filtering. For bilateral filtering, a raised-cosine function is used for efficient approximation. The experimental results show that the proposed filter, named IIR bilateral filter, approximates well and the computational cost is low.
AB - In this paper, we propose an infinite impulse response (IIR) filtering with complex coefficients for Euclid distance based filtering, e.g. bilateral filtering. Recursive filtering of edge-preserving filtering is the most efficient filtering. Recursive bilateral filtering and domain transform filtering belong to this type. These filters measure the difference between pixel intensities by geodesic distance. Also, these filters do not have separability. The aspects make the filter sensitive to noises. Bilateral filtering does not have these issues, but it is time-consuming. In this paper, edge-preserving filtering with the complex exponential function is proposed. The resulting stack of these IIR filtering is merged to approximated edge-preserving in FIR filtering, which includes bilateral filtering. For bilateral filtering, a raised-cosine function is used for efficient approximation. The experimental results show that the proposed filter, named IIR bilateral filter, approximates well and the computational cost is low.
KW - Bilateral filter
KW - Complex exponential coefficient
KW - Edge-preserving filter
KW - IIR bilateral filter
KW - Recursive filter
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U2 - 10.1109/ICIP.2017.8296724
DO - 10.1109/ICIP.2017.8296724
M3 - Conference contribution
VL - 2017-September
SP - 2458
EP - 2462
BT - 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
PB - IEEE Computer Society
ER -