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Stochastic Bilateral Filter and Stochastic Non-local Means for High-dimensional Images

Karam, Christina Maria
http://orcid.org/0000-0001-7740-7325
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1429728892

Abstract Details

2015, Master of Science (M.S.), University of Dayton, Electrical Engineering.
We propose Stochastic Bilateral Filter (SBF) and Stochastic Non-local Means (SNLM)--fast image filtering aimed at processing high dimensional images (such as color and hyperspectral images). SBF and SNLM are comprised of an efficient randomized process, where it agrees with conventional bilateral filter (BF) or non-local means (NLM) on average. By Monte-Carlo, we repeat this process a few times with different random instantiations so that they can be averaged to attain the correct BF/NLM output. The computational bottleneck of the SBF is constant with respect to the color dimension, meaning the execution time for hyperspectral images is nearly the same as the grayscale images. For SNLM, it is constant with respect to the window and block sizes but is still dependent on the color dimension. They are considerably faster than the conventional and existing "fast'' bilateral filter and "fast'' non-local means implementations.
Keigo Hirakawa (Committee Chair)
Eric Balster (Committee Member)
Tarek Taha (Committee Member)
31 p.
Electrical Engineering
Bilateral Filter, Non-Local Means, Monte Carlo, hyperscpectral images

Recommended Citations

Citations

  • Karam, C. M. (2015). Stochastic Bilateral Filter and Stochastic Non-local Means for High-dimensional Images [Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1429728892

    APA Style (7th edition)

  • Karam, Christina. Stochastic Bilateral Filter and Stochastic Non-local Means for High-dimensional Images. 2015. University of Dayton, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1429728892.

    MLA Style (8th edition)

  • Karam, Christina. "Stochastic Bilateral Filter and Stochastic Non-local Means for High-dimensional Images." Master's thesis, University of Dayton, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1429728892

    Chicago Manual of Style (17th edition)

dayton1429728892
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This open access ETD is published by University of Dayton and OhioLINK.