Compressed sensing transformer unfolding network for high resolution image denoising

Compressed sensing transformer unfolding network for high resolution image denoising

Abstract In recent years, compressive sensing (CS) theory has garnered significant attention due to its advantages in high-resolution image processing. However, high-resolution images are susceptible to noise contamination prior to sampling, which leads to a noise folding phenomenon during CS denois...

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Bibliographic Details
Main Authors: Jie Zhang, Wenxiao Huang, Miaoxin Lu, Linwei Li, Yongpeng Shen, Yanfeng Wang, Jinsong Du
Format: Article
Language:English
Published: Springer 2025-06-01
Series:Complex & Intelligent Systems
Subjects:
Compressive sensing
Image denoising
Transformer
Deep unfolding network
Online Access:https://doi.org/10.1007/s40747-025-01963-0
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https://doi.org/10.1007/s40747-025-01963-0

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