Title :
An effective document image deblurring algorithm
Author :
Chen, Xiaogang ; He, Xiangjian ; Yang, Jie ; Wu, Qiang
Author_Institution :
Inst. of Image Process. & Pattern Recognition, Shanghai Jiao Tong Univ., Shanghai, China
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.
Keywords :
document image processing; image restoration; image segmentation; natural scenes; optical character recognition; content aware prior; digital document processing; document image deblurring; general purpose deblurring methods; image foreground segmentation; natural scene images; optical character recognition; rings suppression; total variation based method; visual quality; Deconvolution; Estimation; Histograms; Image restoration; Image segmentation; Object segmentation; TV;
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on
Conference_Location :
Providence, RI
Print_ISBN :
978-1-4577-0394-2
DOI :
10.1109/CVPR.2011.5995568