A New Concept to Filter the Salt and Pepper Noise from Grey Scale Images

Recent research in image processing has been strongly influenced by new developments in de noising techniques. Salt-and-pepper impulse noise is one commonly encountered noise type during image and video communication. Various methods have been implemented for the removal of this type of noise. This paper presents a new approach which first detects the noisy pixels using the binary flag image and then replaces only those pixels which are corrupted and the good pixels kept untouched. It is indicated that this method outperformed several existing methods in both visual image quality and restored signal quantity and gives high PSNR & IEF.