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Blur Image Processing

Zhang, Yi
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1448384360

Abstract Details

2015, Doctor of Philosophy (Ph.D.), University of Dayton, Electrical Engineering.
Image blur stems from camera sensor pixel recording light from multiple sources. There are three causes of blur: object motion, optical defocus and camera shake. We propose double discrete wavelet transform (DDWT) to simplify the motion object and optical defocus blur analysis. In particular, DDWT de-correlates the blur from unobserved sharp image and DDWT coefficients give intuitive representation of blur kernel. DDWT based blur detection, estimation and deblurring are proposed to handle object motion blur image corrupted by low/high noise and defocus blur image. For camera shake blur, we propose inertial measurement unit (IMU) based deblurring. IMU is a set of motion sensors can be used to record the camera motion trajectory–the source of camera shake blur. Proposed work solves image blind deblurring problem by incorporating existing blind deblurring algorithm with IMU measurement in a complementary manner, along with image-IMU synchronization, therefore can be generalized by adopting other blind deblurring.
Keigo Hirakawa (Committee Chair)
Vijayan Asari (Committee Member)
Tarek Taha (Committee Member)
John Malas (Committee Member)
91 p.
Electrical Engineering
Image blind deblurring, Noisy and blurry image, Bayesian statistics, double discrete wavelet transform, deblur with IMU, Motion estimation, Spatially varying blur

Recommended Citations

Citations

  • Zhang, Y. (2015). Blur Image Processing [Doctoral dissertation, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1448384360

    APA Style (7th edition)

  • Zhang, Yi. Blur Image Processing. 2015. University of Dayton, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1448384360.

    MLA Style (8th edition)

  • Zhang, Yi. "Blur Image Processing." Doctoral dissertation, University of Dayton, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1448384360

    Chicago Manual of Style (17th edition)

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