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Rolling bilateral filter-based text image deblurring
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DOI：10.1007/s00371-018-1562-2.png)
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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.
Keyword:
Rolling bilateral filter
Text image deblurring
Texture removal
Edge preserving
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