Abstract
The aim of image de-noising is to provide a clean version of a given noisy image, utilizing prior knowledge of the statistics of natural images. The problem has been studied intensively with considerable progress made in recent years. The new proposed algorithm has been proposed to deal with the problems, namely, poor image enhancement at high noise density, which is frequently enhanced in the Improved Mean filter (IMF). In this paper Improved Mean Filtering is used for enhancing the peak signal to noise ratio (PSNR) and image enhancement factor (IEF) both. The performances of proposed ‘Improved Mean Filter’ (IMF) are quantitatively vies as well as the visual and human perception views shows better result in both conditions as compared to other existing filters. Results reveal that the proposed filter exhibits better performance in comparison with MF, AMF, DBA, MDBA, MDBUTMF, MNF filters in terms of higher PSNR and IEF. The performance of the proposed method has to be tested at low, me