SAD-Net: a full spectral self-attention detail enhancement network for single image dehazing

• Published in: Scientific reports Vol. 15; no. 1; pp. 11875 - 13
• Main Authors: Niu, Qingjun, Wu, Kun, Zhang, Jialu, Han, Zhenqi, Liu, Lizhuang
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 07.04.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 639/166; 639/705; Convolution; Datasets; Humanities and Social Sciences; multidisciplinary; Science; Science (multidisciplinary); Signal to noise ratio; Surveillance; Wavelet transforms

Single-image dehazing technology plays a significant role in video surveillance and intelligent transportation. However, existing dehazing methods using vanilla convolution only extract features in the temporal domain and lack the ability to capture multi-directional information. To address the afor...