Title
Partially Blind Deblurring of Barcode from Out-of-Focus Blur.
Abstract
This paper addresses the nonstationary out-of-focus (OOF) blur removal in the application of barcode reconstruction. We propose a partially blind deblurring method when partial knowledge of the clean barcode is available. In particular, we consider an image formation model based on geometrical optics, which involves the point-spread function (PSF) for the OOF blur. With the known information, we can estimate a low-dimensional representation of the PSF using the Levenberg-Marquardt algorithm. Once the PSF is obtained, the deblurred image is computed by solving a quadratic program. We find that imposing a [0,1] box constraint is often good enough to enforce binary signal. Experiments on real data demonstrate that the forward model is physically realistic and our partially blind deblurring method can yield good reconstructions.
Year
DOI
Venue
2014
10.1137/130931254
SIAM JOURNAL ON IMAGING SCIENCES
Keywords
Field
DocType
barcode,out-of-focus blur,geometrical optics,Levenberg-Marquardt algorithm,quadratic programming,box constraint
Computer vision,Mathematical optimization,Deblurring,Image formation,Geometrical optics,Artificial intelligence,Quadratic programming,Binary signal,Barcode,Mathematics,Levenberg–Marquardt algorithm
Journal
Volume
Issue
ISSN
7
2
1936-4954
Citations 
PageRank 
References 
3
0.42
19
Authors
4
Name
Order
Citations
PageRank
Yifei Lou117216.27
Ernie Esser228610.74
Hongkai Zhao379774.83
Jack Xin421225.49