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- W2019202389 abstract "A novel algorithm for mixed noise filtering in image processing is presented, combing the genetic algorithm and L-filter. The algorithm based on central limit theorem estimates mixed noise model through inter-selecting region of interest in the image, and adds this mixed noise model to a small test image for rebuilding degraded process. Aiming at this test image, the genetic algorithm is used to optimize the weight coefficients of L-filter. Then the optimized weight coefficients are used in combination with image edge information to execute L-filter to the image. Experiments demonstrate that this method is better than Laplacian filter and median filter." @default.
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- W2019202389 date "2008-12-01" @default.
- W2019202389 modified "2023-09-22" @default.
- W2019202389 title "A mixed noise filtering algorithm based on the genetic algorithm and L-filter" @default.
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- W2019202389 doi "https://doi.org/10.1109/spawda.2008.4775759" @default.
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