TY - CHAP T1 - Restoration of blurred binary images using discrete tomography T2 - Advanced Concepts for Intelligent Vision Systems (ACIVS) Y1 - 2013 A1 - Jozsef Nemeth A1 - Péter Balázs ED - Jacques Blanc-Talon ED - Andrzej Kasinski ED - Wilfried Philips ED - Dan Popescu ED - Paul Scheunders AB -

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.

 

JF - Advanced Concepts for Intelligent Vision Systems (ACIVS) T3 - Lecture Notes in Computer Science PB - Springer Verlag CY - Berlin; Heidelberg; New York; London; Paris; Tokyo SN - 978-3-319-02894-1 N1 - ScopusID: 84890864720doi: 10.1007/978-3-319-02895-8_8 JO - LNCS ER -