Noval image restoration approach for colour images corrupted with impulsive noise

Generally, image restoration is an important task in any image processing system. This study discusses a novel colour image denoising approach by using new decision based morpho filter for salt and pepper noise corrupted digital color images. The key drawback of the various denoising technique is incapability of edge preservation while image restoration. The proposed denoising algorithm overcomes the aforementioned problem and efficiently removes the corrupted pixels by morphological operation. The proposed system is evaluated by bench mark images such as Lena, Barbara and Peppers. A satisfactory denoising performance is achieved and the result of the system is compared with existing restoration methods such as standard median filter (SMF), adaptive median filter (AMF) and decision based algorithm (DBA).