Performance Analysis of Various Filters for Image Noise Removal in Different Noise Environment

In this paper, a comparative study on three types of noise as Salt & Pepper noise, Gaussian Noise and Speckle noise has been undertaken under six different noise densities varying from 10% to 60% with the use of four filters as Average filter(AF), Adaptive Median filter(AMF), Standard Median filter(SMF) and Alpha Trimmed Mean filter (ATMF). The result comparison has been done with the help of Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) and Gain (%) to find a better method for the removal of noise in image in different noise conditions during acquisition.