Document Type
Article
Publication Date
3-1-2021
Publication Source
Journal of Electronic Imaging
Abstract
We propose accelerated implementations of bilateral filter (BF) and nonlocal means (NLM) called color-compressive bilateral filter (CCBF) and color-compressive nonlocal means (CCNLM). CCBF and CCNLM are random filters, whose Monte-Carlo averaged output images are identical to the output images of conventional BF and NLM, respectively. However, CCBF and CCNLM are considerably faster because the spatial processing of multiple color channels are combined into a single random filtering process. This implies that the complexity of CCBF and CCNLM is less sensitive to color dimension (e.g., hyperspectral images) relatively to other BF and NLM methods. We experimentally verified that the execution time of CCBF and CCNLM are faster than the existing "fast"implementations of BF and NLM, respectively.
ISBN/ISSN
1017-9909; e-ISSN: 1560-229X
Document Version
Published Version
Copyright
Copyright © 2021 SPIE and IS&T
Publisher
Society of Photo-optical Instrumentation Engineers
Volume
30
Peer Reviewed
yes
Issue
2
Keywords
bilateral filter, nonlocal means, random filters
eCommons Citation
Karam, Christina; Sugimoto, Kenjiro; and Hirakawa, Keigo, "Color-compressive bilateral filter and nonlocal means for high-dimensional images" (2021). Electrical and Computer Engineering Faculty Publications. 439.
https://ecommons.udayton.edu/ece_fac_pub/439
Included in
Computer Engineering Commons, Electrical and Electronics Commons, Electromagnetics and Photonics Commons, Optics Commons, Other Electrical and Computer Engineering Commons, Systems and Communications Commons
Comments
The document is made available for download in compliance with the publisher's policy on self-archiving. Permission documentation is on file. To view the article on the journal website, use the DOI: 10.1117/1.JEI.30.2.023001