DMET: Dynamic Mask-Enhanced Transformer for Generalizable Deep Image Denoising

• Published in: Mathematics (Basel) Vol. 13; no. 13; p. 2167
• Main Authors: Zhu, Tong, Li, Anqi, Wang, Yuan-Gen, Su, Wenkang, Jiang, Donghua
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2025
• Subjects: Attention; channel attention; Computational linguistics; Computer vision; Datasets; Deep learning; Electric transformers; Image acquisition; image denoising; Language processing; Machine vision; masked training; Natural language interfaces; Neural networks; Noise; Noise reduction; Regularization methods; Semantics

Different types of noise are inevitably introduced by devices during image acquisition and transmission processes. Therefore, image denoising remains a crucial challenge in computer vision. Deep learning, especially recent Transformer-based architectures, has demonstrated remarkable performance for...