AUTHOR=Yuan Hong Xu , Liao Zhiwu , Wang Rui Xin , Dong Xinceng , Liu Tao , Long Wu Dan , Wei Qing Jin , Xu Ya Jie , Yu Yong , Chen Peng , Hou Rong 

TITLE=Dehazing Based on Long-Range Dependence of Foggy Images

JOURNAL=Frontiers in Physics

VOLUME=10

YEAR=2022

URL=https://www.frontiersin.org/journals/physics/articles/10.3389/fphy.2022.828804

DOI=10.3389/fphy.2022.828804

ISSN=2296-424X

ABSTRACT=<p>Deep neural networks (DNNs) with long-range dependence (LRD) have attracted more and more attention recently. However, LRD of DNNs is proposed from the view on gradient disappearance in training, which lacks theory analysis. In order to prove LRD of foggy images, the Hurst parameters of over 1,000 foggy images in SOTS are computed and discussed. Then, the Residual Dense Block Group (RDBG), which has additional long skips among two Residual Dense Blocks to fit LRD of foggy images, is proposed. The Residual Dense Block Group can significantly improve the details of dehazing image in dense fog and reduce the artifacts of dehazing image.</p>