NOISE REMOVAL FOR IMAGE USING ADAPTIVE PULSE-COUPLED NEURAL NETWORK OPTIMIZED BY BIDIMENSIONAL EMPIRICAL MODE DECOMPOSITION AND GREY WOLF OPTIMIZATION

Yang Hong; Jin Tao; Shen Chong; Mi Kangmin; Huang Chunde; Liu Yongxin

doi:10.3969/j.issn.1000-386x.2025.04.036

Computer Applications and Software, Volume. 42, Issue 4, 251(2025)

NOISE REMOVAL FOR IMAGE USING ADAPTIVE PULSE-COUPLED NEURAL NETWORK OPTIMIZED BY BIDIMENSIONAL EMPIRICAL MODE DECOMPOSITION AND GREY WOLF OPTIMIZATION

Yang Hong¹, Jin Tao¹, Shen Chong², Mi Kangmin¹, Huang Chunde³, and Liu Yongxin¹

Author Affiliations

¹State Grid Shanxi Electric Power Research Institute, Taiyuan 030001, Shanxi, China

²Key Laboratory of Instrumentation Science and Dynamic Measurement Ministry, North University of China, Taiyuan 030051, Shanxi, China

³State Grid Shanxi Electric Power Company, Taiyuan 030021, Shanxi, China

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Yang Hong, Jin Tao, Shen Chong, Mi Kangmin, Huang Chunde, Liu Yongxin. NOISE REMOVAL FOR IMAGE USING ADAPTIVE PULSE-COUPLED NEURAL NETWORK OPTIMIZED BY BIDIMENSIONAL EMPIRICAL MODE DECOMPOSITION AND GREY WOLF OPTIMIZATION[J]. Computer Applications and Software, 2025, 42(4): 251

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Received: Nov. 30, 2021

Accepted: Aug. 25, 2025

Published Online: Aug. 25, 2025

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DOI:10.3969/j.issn.1000-386x.2025.04.036

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