Abstract

State-of-the-art blind image deconvolution approaches have difficul- ties 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 deblur- ring method which takes into account the speci fic properties of text images. Our method extends the commonly used optimization framework for image deblur- ring to allow domain-speci fic 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.