Denoising is an important task inside the image processing area. In this paper, an algorithm for detecting and suppressing salt and pepper noise is presented. Firstly, the algorithm computes an estimation of the denoised image by using a variant of the Non-Local Means proposal. This estimation is segmented in order to detect corrupted pixels avoiding misclassifying pixels with extreme values that belong to objects on the uncorrupted image. Once pixels are classified, the algorithm performs a suppression step by using an adaptive median filter. Obtained results show that the implementation of this proposal gives good noise detection and suppression.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.