An enhanced-FCMSPCNN model and its image enhancement application

Jing Lian; Hongyuan Yang; Jinying Liu; Jiajun Zhang; Jibao Zhang

doi:10.1117/12.2681598

1 June 2023 An enhanced-FCMSPCNN model and its image enhancement application

Jing Lian, Hongyuan Yang, Jinying Liu, Jiajun Zhang, Jibao Zhang

Proceedings Volume 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023); 1271814 (2023) https://doi.org/10.1117/12.2681598
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 2023, Nanjing, China

Abstract

Most popular image enhancement algorithms are generally based on a series of specialized images collected by image photography devices. Hereinto, Pulse-Coupled Neural Network (PCNN), plays important roles in image enhancement aspect, with lower computational complexity and higher image enhancement accuracy. On the research, we propose an image enhancement method based on enhanced fire-controlled MSPCNN(EFC-MSPCNN) model, which gives the setting methods of designed adaptive parameters. Related experimental results demonstrate that our proposed method has good image enhancement performances.

Citation Download Citation

Jing Lian, Hongyuan Yang, Jinying Liu, Jiajun Zhang, and Jibao Zhang "An enhanced-FCMSPCNN model and its image enhancement application", Proc. SPIE 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 1271814 (1 June 2023); https://doi.org/10.1117/12.2681598

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KEYWORDS

Image enhancement

Matrices

Neurons

Image processing

Neural networks

Histograms

Image compression

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