TY - GEN
T1 - Near-Constant Time Bilateral Filter for High Dimensional Images
AU - Karam, Christina
AU - Sugimoto, Kenjiro
AU - Hirakawa, Keigo
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/29
Y1 - 2018/8/29
N2 - Bilateral filter is a popular edge-preserving nonlinear filter. It prevents smoothing across object boundaries by limiting the contribution of pixels dissimilar in appearance. Despite its usefulness, the complexity of the filter makes it unattractive for high dimensional data and large window size. We develop a novel technique to accelerate this filter so that the execution time is nearly constant with respect to the color dimensionality and the window sizea hyperspectral image can be processed almost as fast as a grayscale image.
AB - Bilateral filter is a popular edge-preserving nonlinear filter. It prevents smoothing across object boundaries by limiting the contribution of pixels dissimilar in appearance. Despite its usefulness, the complexity of the filter makes it unattractive for high dimensional data and large window size. We develop a novel technique to accelerate this filter so that the execution time is nearly constant with respect to the color dimensionality and the window sizea hyperspectral image can be processed almost as fast as a grayscale image.
KW - Bilateral filter
KW - Monte-Carlo
UR - http://www.scopus.com/inward/record.url?scp=85062919187&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062919187&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2018.8451545
DO - 10.1109/ICIP.2018.8451545
M3 - Conference contribution
AN - SCOPUS:85062919187
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 3244
EP - 3248
BT - 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings
PB - IEEE Computer Society
T2 - 25th IEEE International Conference on Image Processing, ICIP 2018
Y2 - 7 October 2018 through 10 October 2018
ER -