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A Parallel Fuzzy Algorithm for Real-Time Medical Image Enhancement
2020
International Journal of Fuzzy Systems
Medical images may be corrupted by noise. This noise affects the image quality and can obscure important information required for accurate diagnosis. Effectively apply filtering techniques can facilitate diagnosis or reduce radiation exposure. In this paper, we introduce a parallel method designed to reduce mixed Gaussian-impulse noise from digital images. The method uses fuzzy logic and the fuzzy peer group concept. Implementations of the method on multi-core interface using the Open
doi:10.1007/s40815-020-00953-3
fatcat:bdkdco4emzd5zm4kwfmt4f7alu