Fast filter Based Noise Removal in Digital Images

Abstract

Images play a major role in today’s world. It provides a lot of information in the field of medicine in diagnosing the disease, removing the defected area and also in traffic observations, surveillance systems, navigation etc. Often images are corrupted by noise due to various factors which cannot be avoided. Image denoising is done to detect the corrupted pixels and then correct them by the original pixel of the image. Filtering techniques are applied in images to filter out various types of noise. In this paper fast filters including mean, median, minimum, maximum, background subtraction are employed for removing the noise in images. ImageJ platform is employed for obtaining the results.