An Adaptive Learning Image Denoising Algorithm Based on Eigenvalue Extraction and the GAN Model

This paper proposes a self-adjusting generative confrontation network image denoising algorithm. The algorithm combines noise reduction and the adaptive learning GAN model. First, the algorithm uses image features to preprocess the image and extract the effective information of the image. Then, the...

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Detalles Bibliográficos
Autores principales: Wang, Feng, Xu, Zhiming, Ni, Weichuan, Chen, Jinhuang, Pan, Zhihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8849829/
https://www.ncbi.nlm.nih.gov/pubmed/35186066
http://dx.doi.org/10.1155/2022/5792767

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8849829/
https://www.ncbi.nlm.nih.gov/pubmed/35186066
http://dx.doi.org/10.1155/2022/5792767

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