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Acceleration of Non-Linear Image Filters, and Multi-Frame Image Denoising

Karam, Christina Maria
http://orcid.org/0000-0001-7740-7325
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1575976497271633

Abstract Details

2019, Doctor of Philosophy (Ph.D.), University of Dayton, Electrical and Computer Engineering.
This dissertation is comprised of four novel contributions. First, we propose new implementations of Monte-Carlo-based bilateral filter and non-local means whose per-pixel complexity is approximately invariant to the color dimension, window size, and block size. We reduce complexity by combining the random filtering of multiple color channels that approximate the non-linear behavior of the bilateral filter into a single convolution operation. We extend this work to a non-linear filter called Non-Local Means. In the second part, we propose "convolutional distance transform"-- efficient implementations of distance transform. Specifically, we leverage approximate minimum functions to rewrite the distance transform in terms of convolution operators, reducing the complexity to N logN. Third, we propose a novel method for multi-frame image denoising in mobile phones. We developed a method to register noisy image frames by estimating the camera motion using both image and inertial measurements. Lastly, we develop a new framework for multi-frame image denoising using noisy image statistics of one frame to design an optimal denoising filter for the second frame. The algorithm is provably optimal in minimum mean squared error estimation sense as well as in wavelet structural similarity metric sense.
Keigo Hirakawa (Advisor)
Eric Balster (Committee Member)
Raúl Ordóñez (Committee Member)
Ju Shen (Committee Member)
97 p.
Electrical Engineering
bilateral filter, non-local means, noise2noise, multi-frame denoising

Recommended Citations

Citations

  • Karam, C. M. (2019). Acceleration of Non-Linear Image Filters, and Multi-Frame Image Denoising [Doctoral dissertation, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1575976497271633

    APA Style (7th edition)

  • Karam, Christina. Acceleration of Non-Linear Image Filters, and Multi-Frame Image Denoising. 2019. University of Dayton, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1575976497271633.

    MLA Style (8th edition)

  • Karam, Christina. "Acceleration of Non-Linear Image Filters, and Multi-Frame Image Denoising." Doctoral dissertation, University of Dayton, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1575976497271633

    Chicago Manual of Style (17th edition)

dayton1575976497271633
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© 2019, all rights reserved.
This open access ETD is published by University of Dayton and OhioLINK.