The fast algorithm for impulsive noise suppression in highly corrupted aerophotographic images

A new fast effective approach for impulsive noise suppression in digitized aerophotographic images is presented in this paper. The filtering scheme consists of the global histogram analysis part to detect impulse corrupted pixels and the part of local adaptive interpolation of the intensity function of identified pixels by spatial modified order statistic value computed around these pixels. The proposed technique is characterized by its simplicity and better performing of the impulsive noise suppression while preserving fine details and edges of the image, especially where there is a high probability of the impulse occurrence. The advantages of developed approach in comparison with known adaptive identification filters are demonstrated by simulation results.