A new impulse detection and filtering algorithm is proposed for restoration of images that are highly corrupted by impulse noise. It is based on the average absolute value of four convolutions obtained by one-dimensional Laplacian operators. The proposed algorithm can effectively remove the impulse noise with a wide range of noise density and produce better results in terms of the qualitative a...

In this paper a nonlinear smoothing algorithm recently proposed by Tukey is described and evaluated for speech processing applications. Simple linear smoothing routines generally fail to provide adequate smoothing for data which exhibit both local roughness and sharp discontinuities. The proposed nonlinear smoothing algorithm can effectively smooth such data by using a combination of median smo...

A parallel algorithm for reducing impulse noise from color images is proposed. The algorithm is based on a fuzzy metric and is performed in two steps followed by noise filtering using the vector median filter. An implementation of the algorithm on multi-core interface using the Open MultiProcessing (OpenMP) is presented. A performance analysis with large images is conducted. Performance is eval...

A novel median filter based on crow optimization algorithms (OMF) is suggested to reduce the random salt and pepper noise improve quality of RGB-colored gray images. The fundamental idea approach that first, algorithm detects pixels, replacing them with an optimum value depending a criterion maximization fitness function. Finally, standard measure peak signal-to-noise ratio (PSNR), Structural S...