Weighted Square Masking Filter for Efficient Removal of Impulse Noise

Generally the removal process of impulse noise from digital images tends to be difficult due to the uncertain nature of impulse noise. Understanding the uncertainty of impulse noise is also difficult. Recently, Cloud model (CM Filter) filtering has been used to remove the impulse noise in order to get the better output image in denoising process. But CM filtering and other older methods which are used for the impulse noise removal are not upto the requirements due to time elapsing and moderate improvement in PSNR values. In order to get the better PSNR of output image within a short duration, an algorithm namely Weighted Square Masking (WSM) has been proposed in this paper. This WSM filtering method uses the fuzzy mean filter as a part of it. An image which is affected more than 90% of impulse noise can also be recovered effectively by using this WSM filtering.