Digital architecture for a median filter of image based on sorting network
Victor Manuel Jimenez-Fernandez, Carlos Ventura-Arizmendi, Denisse Martínez-Navarrete, Francisco González Martínez · International Conference on Circuits · 2011
In many image processing applications, one of the most frequent problems is the existence of impulsive noise. Median filtering has been proved to be a very powerful method to overcome that problem. However, it results to be computationally intensive because of its requirement of sorting data. In this paper, a digital architecture for median filtering of grayscale images, which is based on a nine-data sorting network, is presented. The functional behavior of the architecture is verified by Matlab programming and the hardware implementation tested on a Spartan-3E FPGA device.