Denoising Digital Images using Order Statistic Filtering Technique

A new filtering technique is proposed to denoising process on digital images. This filter is a combination of statistics and average. It is very useful for denoising if image is corrupted with impulse noise and gaussian noise. This filtering scheme offers edge and fine detail preservation performance while, at the same time, effectively denoising digital images. Extensive simulation results were realized for the proposed filter and different filters are compared. Results show that the proposed filter is superior performance in terms of image denoising and edges and fine details preservation properties.