01773nas a2200205 4500008004100000020002200041245006700063210006700130260007800197300001200275520103100287100001901318700002001337700002501357700002201382700002201404700001701426700002101443856010301464 2013 eng d a978-3-319-02894-100aRestoration of blurred binary images using discrete tomography0 aRestoration of blurred binary images using discrete tomography aBerlin; Heidelberg; New York; London; Paris; TokyobSpringer Verlagc2013 a80 - 903 a

Enhancement of degraded images of binary shapes is an important task in many image processing applications, e.g. to provide appropriate image quality for optical character recognition. Although many image restoration methods can be found in the literature, most of them are developed for grayscale images. In this paper we propose a novel binary image restoration algorithm. As a first step, it restores the projections of the shape using 1-dimensional deconvolution, then reconstructs the image from these projections using a discrete tomography technique. The method does not require any parameter setting or prior knowledge like an estimation of the signal-to-noise ratio. Numerical experiments on a synthetic dataset show that the proposed algorithm is robust to the level of the noise. The efficiency of the method has also been demonstrated on real out-of-focus alphanumeric images.

 

1 aNemeth, Jozsef1 aBalázs, Péter1 aBlanc-Talon, Jacques1 aKasinski, Andrzej1 aPhilips, Wilfried1 aPopescu, Dan1 aScheunders, Paul uhttps://inf.u-szeged.hu/publication/restoration-of-blurred-binary-images-using-discrete-tomography