TY - GEN
T1 - GPU-friendly Approximate Bilateral Filter for 3D Volume Data
AU - Yano, Koichi
AU - Sugimoto, Kenjiro
AU - Kamata, Sei Ichiro
N1 - Funding Information:
ACKNOWLEDGEMENT This work was partly supported by JSPS KAKENHI (No.JP18K18076, No.JP16K16092, and No.JP17H01764).
Publisher Copyright:
© 2018 APSIPA organization.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - This paper presents an approximate Bilateral Filter(BF) with a GPU-friendly architecture for 3D volume data. The bilateral filter (BF) for 3D volume data such as medical images highly costs due to an enormous number of voxels to be processed. Existing acceleration methods called constant-time, or O(1), BF are inappropriate for GPU processing because they consist of a combination of O(1) spatial filters not to fit to parallel processing. The proposed method realizes a fast approximation 3D-BF by focusing two points: (1) the BF is decomposed into multiple Gaussian Filters and (2) GPU processing is suitable for convolution. As a consequence, proposed method achieved fast and high approximate accuracy in various window size.
AB - This paper presents an approximate Bilateral Filter(BF) with a GPU-friendly architecture for 3D volume data. The bilateral filter (BF) for 3D volume data such as medical images highly costs due to an enormous number of voxels to be processed. Existing acceleration methods called constant-time, or O(1), BF are inappropriate for GPU processing because they consist of a combination of O(1) spatial filters not to fit to parallel processing. The proposed method realizes a fast approximation 3D-BF by focusing two points: (1) the BF is decomposed into multiple Gaussian Filters and (2) GPU processing is suitable for convolution. As a consequence, proposed method achieved fast and high approximate accuracy in various window size.
UR - http://www.scopus.com/inward/record.url?scp=85063534280&partnerID=8YFLogxK
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U2 - 10.23919/APSIPA.2018.8659773
DO - 10.23919/APSIPA.2018.8659773
M3 - Conference contribution
AN - SCOPUS:85063534280
T3 - 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings
SP - 2054
EP - 2058
BT - 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018
Y2 - 12 November 2018 through 15 November 2018
ER -