An Image Impulsive Noise Denoising Method Based on Salp Swarm Algorithm
Автор: Wei Liu, Ran Wang, Jun Su
Журнал: International Journal of Education and Management Engineering @ijeme
Статья в выпуске: 1 vol.10, 2020 года.
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Image noise denoising is a very important task in image processing. Aiming at the shortcomings of traditional median filtering to handle image impulse noise, an approach based on Salp Swarm Algorithm (SSA) to eliminate image impulse noise is presented in the paper. In this method, the improved extremum method is used to detect the position of impulse noise pixels, and then the Salp Swarm algorithm is used to find the optimal pixel value instead of the noise pixel to complete the denoising process of the image. Experimental results testfies that image impulse noise could be effectively filtered out through the proposed method and the manipulated image is clear and more detail could be revealed for human vision.
Image enhancement, Salp Swarm Algorithm, Median filtering, Noise elimination
Короткий адрес: https://sciup.org/15017028
IDR: 15017028 | DOI: 10.5815/ijeme.2020.01.05
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