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Noise degrades the image quality at a large extent in all kinds of images. Impulse noise is the most common one. Correlation is used for analysis of features of the filtering mask. In this work a new algorithm for de-noising, based on median filter is proposed. It has been implemented for the denoising of grayscale and color images which are corrupted by impulse noise. This median filter based algorithm...
Independent component analysis (ICA) is a statistical technique where the goal is to represent a set of random variables as a linear transformation of statistically independent component variables. This paper proposes a new extended model for CT medical image de-noising, which is using independent component analysis and dynamic fuzzy theory. Firstly, a random matrix was produce to separate the CT...
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