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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