Transactions of Nanjing University of Aeronautics & Astronautics
Removing Random-Valued Impulse Noises by a Two-Staged Nonlinear Filtering Method
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Abstract:
Digital images are frequently contaminated by impulse noise (IN) during acquisition and transmission.The removal of this noise from images is essential for their further processing. In this paper, a two-staged nonlinear filtering algorithm is proposed for removing random-valued impulse noise (RVIN) from digital images. Noisy pixels are identified and corrected in two cascaded stages. The statistics of two subsets of nearest neighbors are employed as the criterion for detecting noisy pixels in the first stage, while directional differences are adopted as the detector criterion in the second stage. The respective adaptive median values are taken as the replacement values for noisy pixels in each stage. The performance of the proposed method was compared with that of several existing methods. The experimental results show that the performance of the suggested algorithm is superior to those of the compared methods in terms of noise removal, edge preservation, and processing time.
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