Rolling bilateral filter-based text image deblurring

doi:10.1007/s00371-018-1562-2

CIOMP OpenIR

	Rolling bilateral filter-based text image deblurring
	Yang, Hang; Zhang, Zhongbo; Guan, Yujing
	2018
发表期刊	The Visual Computer
ISSN	0178-2789;1432-2315
卷号	0 页码:2019-01-14
摘要	Although many competitive approaches have been developed for image deblurring, the priors which rely on natural image are less effective for text images which have special properties, lack of heavy-tailed gradient, and clean background. Considering the specific structure of text images, in this work, we present an effective yet simple deblurring method based on rolling bilateral filtering, an improved rolling guidance filtering specifically. The rolling bilateral filter can remove texture and preserve image structures. Thus, it is appropriate for processing the document image whose background regions are uniform. According to this property, we propose an efficient iterative algorithm to estimate the image and point spread function. Experimental results demonstrate that our method outperforms the traditional deblurring algorithms designed for typical natural images and text images. 2018 Springer-Verlag GmbH Germany, part of Springer Nature
关键词	Image enhancement Bandpass filters Discrete cosine transforms Image texture Iterative methods Nonlinear filtering Optical transfer function
DOI	10.1007/s00371-018-1562-2
收录类别	EI
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/60794
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Yang, Hang,Zhang, Zhongbo,Guan, Yujing. Rolling bilateral filter-based text image deblurring[J]. The Visual Computer,2018,0:2019-01-14.
APA	Yang, Hang,Zhang, Zhongbo,&Guan, Yujing.(2018).Rolling bilateral filter-based text image deblurring.The Visual Computer,0,2019-01-14.
MLA	Yang, Hang,et al."Rolling bilateral filter-based text image deblurring".The Visual Computer 0(2018):2019-01-14.

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