A comprehensive review of image denoising in deep learning

• Main Authors: Jebur R.S., Zabil M.H.B.M., Hammood D.A., Cheng L.K.
• Other Authors: 57214077047
• Format: Article
• Published: Springer 2025
• Subjects: Deep learning; Gaussian noise (electronic); Learning systems; Blind denoising; Discriminative learning; Gaussians; Hybrid noisy image; Learning methods; Learning techniques; Noisy image; Optimization models; Salt-and-pepper noise; Salt and pepper noise

Deep learning has gained significant interest in image denoising, but there are notable distinctions in the types of deep learning methods used. Discriminative learning is suitable for handling Gaussian noise, while optimization models are effective in estimating real noise. However, there is limite...