Computer Science ›› 2017, Vol. 44 ›› Issue (8): 301-305.doi: 10.11896/j.issn.1002-137X.2017.08.052

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Algorithm of Image Salt and Pepper Noise Elimination Based on Particle Swarm Algorithm

ZHANG Ai-ling, LI Peng and LIU Sheng   

  • Online:2018-11-13 Published:2018-11-13

Abstract: To eliminate salt and pepper noise in images,we proposed an adaptive switching median filter algorithm based on particle swarm algorithm. The proposed algorithm consists of two stages:noise detection and noise filtering.Compared with the standard median filtering,the adaptive switching median filter algorithm was put forward to generate pollution image noise wave. Contaminated and non-contaminated pixel information can be get through the noise wave images.In the filtering process,the filter calculates the value of the adjacent pixels and replaces the contaminated pixels.The simulation results show that the proposed algorithm is effective and can improve the peak signal to noise ratio (SNR) and image quality.

Key words: Median filter,Particle swarm algorithm,Noise elimination,Impulse noise,Image denoising,PSNR,NMSE

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