Color Image De-noising Based on Mean, Median, and Gaussian filters

Abstract: Image filtering algorithms are employed to eliminate various types of noise from established images, such as the Lena image. This noise can either be present in the image during the image capture process or as a result of transmission. The present study aims to compare the performance of mean, median, and Gaussian filters in the de-noising of Lena images affected by Gaussian noise, salt and pepper noise, and speckle noise. The evaluation of a performance is carried out using the Peak Signal to Noise Ratio (PSNR) metric.

Keywords: Gaussian noise, Salt & Pepper noise, Speckle noise, Mean filter, Median filter, Gaussian Filter, and PSNR.