Reducing the Area on a Chip Using a Bank of Evolved Filters

An evolutionary algorithm is utilized to find a set of image filters which can be employed in a bank of image filters. This filter bank exhibits at least comparable visual quality of filtering in comparison with a sophisticated adaptive median filter when applied to remove the salt-and-pepper noise of high intensity (up to 70% corrupted pixels). The main advantage of this approach is that it requires four times less resources on a chip when compared to the adaptive median filter. The solution also exhibits a very good behavior for the impulse bursts noise which is typical for satellite images.