Journal article
Indirect Domain Shift for Single Image Dehazing
Abstract
Despite their remarkable expressibility, convolution neural networks (CNNs) still fall short of delivering satisfactory results on single image dehazing, especially in terms of faithful recovery of fine texture details. In this paper, we argue that the inadequacy of conventional CNN-based dehazing methods can be attributed to the fact that the domain of hazy images is too far away from that of clear images, rendering it difficult to train a CNN …
Authors
Liu H; Chen J
Journal
IEEE Access, Vol. 9, , pp. 122959–122970
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
January 1, 2021
DOI
10.1109/access.2021.3110428
ISSN
2169-3536