%0 Book Section %B Advances in Visual Computing %D 2010 %T Image enhancement by median filters in algebraic reconstruction methods: an experimental study %A Norbert Hantos %A Péter Balázs %E George Bebis %E Richard Boyle %E Bahram Parvin %E Darko Koracin %E Ronald Chung %E Riad Hammound %E Muhammad Hussain %E Tan Kar-Han %E Roger Crawfis %E Daniel Thalmann %E David Kao %E Lisa Avila %X

Algebraic methods for image reconstruction provide good solutions even if only few projections are available. However, they can create noisy images if the number of iterations or the computational time is limited. In this paper, we show how to decrease the effect of noise by using median filters during the iterations. We present an extensive study by applying filters of different sizes and in various times of the reconstruction process. Also, our test images are of different structural complexity. Our study concentrates on the ART and its discrete variant DART reconstruction methods.

 

%B Advances in Visual Computing %S Lecture Notes in Computer Science %I Springer Verlag %C Las Vegas, NV, USA %P 339 - 348 %8 Nov-Dec 2010 %@ 978-3-642-17276-2 %G eng %9 Conference paper %! LNCS %R 10.1007/978-3-642-17277-9_35