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In today's era, mainly communication is done through visual communication. Almost all information is transmitted in the form of digital image or video. But after transmission, the obtained information is often corrupted with noise. At a high noise density, detail information of the image is hidden by noise. Hence, we have to recover the original image by removing noise of the image without loss of data. Here, we proposed two hybridization methods, to yield better restoration of impulse noisedoi:10.1016/j.procs.2015.06.086 fatcat:wi4zg3e5mfc27l4c6z7svlamri