Optical Technique, Volume. 46, Issue 6, 707(2020)
A multi-scale parallel residual network for image dehazing
[3] [3] K He, J Sun, X Tang. Single image haze removal using dark channel prior[J]. IEEE transactions on pattern analysis and machine intelligence,33(12):2341—2353.
[4] [4] Cai B, Xu X, Jia K. DehazeNet: An end-to-end system for single image haze removal[J]. IEEE Transactions on Image Processing,2016,25(11):5187—5198.
[5] [5] Ren W, Liu S, Zhang H, et al. Single image dehazing via Multi-scale convolutional neural networks[M]∥Computer Vision-ECCV 2016. Springer International Publishing,2016:154—169.
[6] [6] W Ren, L Ma, J Zhang, et al. Yang. Gated fusion network for single image dehazing, in Proc[C]∥IEEE Conf. Comput. Vis. Pattern Recognit., Jun.2018:3253—3261.
[13] [13] Lim B, Son S, Kim H, et al. 2017. Enhanced deep residual networks for single image super-resolution[C]∥In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops,2017:136—144.
[17] [17] Li Boyi, Ren Wenqi, Fu Dengpan, et al. Benchmarking single image dehazing and beyond[J]. IEEE Transactions on Image Processing: A Publication of The IEEE Signal Processing Society,2018,28(1):492—505.
Get Citation
Copy Citation Text
ZHANG Xin, LOU Xiaoping, HUANG Ziyan, ZHANG Wenyue. A multi-scale parallel residual network for image dehazing[J]. Optical Technique, 2020, 46(6): 707
Category:
Received: May. 27, 2020
Accepted: --
Published Online: Apr. 7, 2021
The Author Email: Xin ZHANG (zx8601863@126.com)
CSTR:32186.14.