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O(1) bilateral filtering with low memory usage

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Title: O(1) bilateral filtering with low memory usage
Authors: Igarashi, Masaki Browse this author
Ikebe, Masayuki Browse this author
Shimoyama, Sousuke Browse this author
Yamano, Kenta Browse this author
Motohisa, Junichi Browse this author
Keywords: Bilateral filter
constant time algorithm
Issue Date: Sep-2010
Publisher: IEEE
Journal Title: 2010 17th IEEE International Conference on Image Processing (ICIP)
Start Page: 3301
End Page: 3304
Publisher DOI: 10.1109/ICIP.2010.5652046
Abstract: We propose a O(1) algorithm for bilateral filter with low memory usage. Bilateral filter can be converted into weighted histogram operation. Applying line buffers of column histograms, we can reduce the number of calculation needed to construct recursive center-weighted local histogram. Also our method have advantage in terms of memory requirements. We used a 2-GHz CPU with our method and achieved one million pixels per 0.5 sec operation and high PSNR over 40 dB without the need for temporary frame buffers or additional instructions (downsampling, SIMD instructions, or multi-thread operations).
Conference Name: IEEE International Conference on Image Processing (ICIP)
Conference Sequence: 17
Rights: © 2010 IEEE. Reprinted, with permission, from Igarashi, M., Ikebe, M., Shimoyama, S., Yamano, K., Motohisa, J., O(1) bilateral filtering with low memory usage, 2010 17th IEEE International Conference on Image Processing (ICIP), Sep. 2010. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Hokkaido University products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Type: proceedings (author version)
URI: http://hdl.handle.net/2115/48855
Appears in Collections:情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 五十嵐 正樹

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