A New Impulse Noise Detector Based on Pattern Classification
Noriaki Suetake · IEEJ Transactions on Electronics Information and Systems · 2002
In this letter, a new impulse detector is proposed in order to realize a switching median filter, which can remove salt-pepper impulse noise while preserving details. In the detector, a pixel pattern on the window is classified into some cluster by using the self-organizing maps, and then a difference between the central pixel value and a median of the window is calculated. Finally, the detection is achieved by comparing the difference with a threshold value, which is assigned to a cluster. Simulation results demonstrate that the proposed algorithm is better than a conventional algorithm and is particularly effective for the cases where the images are highly corrupted.