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Indirect Domain Shift for Single Image Dehazing
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