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Eradication of Salt and Pepper Noise from a Tumorous MRI image using SNPRB Filter

Apart from different types of noises which can be represented by categories of modeling style, we have considered a model of addictiveness and salt and pepper type of noise which belongs to impulse category in this outline. We introduce a newly built linear filterization methodology for the eradication of salt and pepper type of noise from a noisy image to achieve restoration over a degradable image. We named our methodology as SNPRB filter which is fundamentally used to deduct above mention noise category from a tumorous image, present inside the human brain and our methodology has produced a positive, desirable and effective result as we observe after experimental result and analysis. In comparison with other pre-existing concepts, our proposed invention generates a far more accurate result as we perform our methodology over multiple data set of some kind and varying noise intensities over our collected data set.