中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Rolling bilateral filter-based text image deblurring

文献类型:期刊论文

作者Yang, Hang; Zhang, Zhongbo; Guan, Yujing
刊名The Visual Computer
出版日期2018
卷号0页码:2019-01-14
关键词Image enhancement Bandpass filters Discrete cosine transforms Image texture Iterative methods Nonlinear filtering Optical transfer function
ISSN号0178-2789;1432-2315
DOI10.1007/s00371-018-1562-2
英文摘要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
源URL[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.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。