Text Image Deblurring Using Text-Specific Properties^*

Hojin Cho¹, Jue Wang², and Seungyong Lee¹

¹Pohang University of Science and Technology (POSTECH), Korea
http://cg.postech.ac.kr/research/text_deblur/

²Adobe, USA

Abstract. State-of-the-art blind image deconvolution approaches have difficulties when dealing with text images, since they rely on natural image statistics which do not respect the special properties of text images. On the other hand, previous document image restoring systems and the recently proposed black-and-white document image deblurring method [1] are limited, and cannot handle large motion blurs and complex background. We propose a novel text image deblurring method which takes into account the specific properties of text images. Our method extends the commonly used optimization framework for image deblurring to allow domain-specific properties to be incorporated in the optimization process. Experimental results show that our method can generate higher quality deblurring results on text images than previous approaches.

^*Part of this work was done while the first author was an intern at Adobe.

LNCS 7576, p. 524 ff.

Full article in PDF | BibTeX

lncs@springer.com
© Springer-Verlag Berlin Heidelberg 2012