Entropy Vector Median Filter

Rastislav Lukac, Bogdan Smolka, Kostas N. Plataniotis, Anastasios N. Venetsanopoulos

Abstract: In this paper, a new adaptive multichannel filter for the detection and removal of impulsive noise, bit errors and outliers in digital color images is provided. The proposed nonlinear filter takes the advantages of the concept of the local entropy contrast and the robust order-statistics theory. The new entropy based vector median is computationally attractive, robust for a wide range of the impulsive noise corruption and significantly improves the signal-detail preservation capability of the standard vector median filter.