Images are often degraded by nοises. From transmission to receiver there are various situations where nοise can be mix with original data. Nοise removal is the crucial and tedious task in image processing. In general, the results of the nοise removal have a strong influence on the quality of the image processing technique. In color image processing there are so many methods for nοise removal but it depends on types of nοise and filters used to remove nοise. The nature of the nοise removal problem depends on the type of the nοise corrupting the image. In the field of image nοise reduction, several linear and non-linear filtering methods have been proposed. In our research paper salt and pepper nοise removed using the advanced median trimmed filter. Nοise level removed from the image having range 10% to 90% and also calculated following parameters PSNR, IEF, and MSE. In our simulation result, we found that as salt and pepper nοise increases the value of PSNR decreases significantly. When a comparative analysis carried out between the base paper and proposed work, values of parameters in proposed work are better and research work significantly improved.