Presenter(s)

    Yi Zhang

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    Description

    Object motion causes spatially varying blur. Estimating such a type of blur from a single image is an ill-posed problem that is difficult to solve. In this paper, we introduce the notion of double discrete wavelet transform (DDWT) designed to sparsify the blurred image and blur kernel simultaneously. Based on DDWT analysis, we are able to accurately estimate motion blur kernels and recover the latent sharp image. The blind image deblurring solution proposed here handles spatially varying motion blurs effectively and efficiently.

    Publication Date

    4-18-2012

    Project Designation

    Graduate Research

    Primary Advisor

    Keigo Hirakawa

    Primary Advisor's Department

    Electrical and Computer Engineering

    Keywords

    Stander Symposium project

    Analysis of Motion Blur Using Double Discrete Wavelet Transform

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