%0 Electronic Article %A Arpad Gellert %+ Computer Science and Electrical Engineering Department, Lucian Blaga University of Sibiu, Emil Cioran Street, No. 4, 550025 Sibiu, Romania %A Remus Brad %+ Computer Science and Electrical Engineering Department, Lucian Blaga University of Sibiu, Emil Cioran Street, No. 4, 550025 Sibiu, Romania %K impulse noise image %K context-based prediction filtering %K image denoising method %K image filtering %K greyscale image %K noisy pixel %K replaceable pixel %X A new image denoising method for impulse noise in greyscale images using a context-based prediction scheme is presented. The algorithm replaces the noisy pixel with the value occurring with the highest frequency, in the same context as the replaceable pixel. Since it is a context-based technique, it preserves the details in the filtered images better than other methods. In the aim of validation, the authors have compared the proposed method with several existing denoising methods, many of them being outperformed by the proposed filter. %@ 1751-9659 %T Context-based prediction filtering of impulse noise images %B IET Image Processing %D June 2016 %V 10 %N 6 %P 429-437 %I Institution of Engineering and Technology %U https://digital-library.theiet.org/;jsessionid=6js3uhnb2a041.x-iet-live-01content/journals/10.1049/iet-ipr.2015.0702 %G EN