NDLI: An effective document image deblurring algorithm

Content Provider	IEEE Xplore Digital Library
Author	Xiaogang Chen Xiangjian He Jie Yang Qiang Wu
Copyright Year	2011
Description	Author affiliation: Centre for Innovation in IT Services and Applications University of Technology, Sydney, Australia (Xiangjian He; Qiang Wu) \|\| Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University, China (Xiaogang Chen; Jie Yang)
Abstract	Deblurring camera-based document image is an important task in digital document processing, since it can improve both the accuracy of optical character recognition systems and the visual quality of document images. Traditional deblurring algorithms have been proposed to work for natural-scene images. However the natural-scene images are not consistent with document images. In this paper, the distinct characteristics of document images are investigated. We propose a content-aware prior for document image deblurring. It is based on document image foreground segmentation. Besides, an upper-bound constraint combined with total variation based method is proposed to suppress the rings in the deblurred image. Comparing with the traditional general purpose deblurring methods, the proposed deblurring algorithm can produce more pleasing results on document images. Encouraging experimental results demonstrate the efficacy of the proposed method.
Starting Page	369
Ending Page	376
File Size	2185248
Page Count	8
File Format	PDF
ISBN	9781457703942
ISSN	10636919
e-ISBN	9781457703959
DOI	10.1109/CVPR.2011.5995568
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image restoration Histograms TV Object segmentation Deconvolution Estimation Image segmentation
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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