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An improved recursive median filtering scheme for image processing

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1 Author(s)
Gnoping Qiu ; Sch. of Comput. & Math., Derby Univ., UK

In a recent publication, it was shown that median filtering is an optimization process in which a two-term cost function is minimized. Based on this functional optimization property of the median filtering process, a new approach for designing the recursive median filter for image processing applications is introduced in this paper. We prove that the new approach is guaranteed to converge to root within a finite number of iterations. The new method is applied to process a real image corrupted by pseudorandom impulsive noise, and the results show that the new scheme provides improved mean square error (RISE) performance over the standard recursive median filters

Published in:

IEEE Transactions on Image Processing  (Volume:5 ,  Issue: 4 )