Optics and Precision Engineering, Volume. 29, Issue 11, 2692(2021)
Dehazing using a decomposition-composition and recurrent refinement network based on the physical imaging model
[1] [1] 1韩昊男, 钱锋, 吕建威, 等. 改进暗通道先验的航空图像去雾[J]. 光学 精密工程, 2020, 28(6): 1387-1394. doi: 10.3788/ope.20202806.1387HANH N, QIANF, LÜJ W, et al. Aerial image dehazing using improved dark channel prior[J]. Opt. Precision Eng., 2020, 28(6): 1387-1394. (in Chinese). doi: 10.3788/ope.20202806.1387
[2] HE K M, SUN J, TANG X O. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33, 2341-2353(2011).
[3] FATTAL R. Dehazing using color-lines[J]. ACM Transactions on Graphics, 34, 1-14(2014).
[4] MENG G F, WANG Y, DUAN J Y et al. Efficient image dehazing with boundary constraint and contextual regularization[C], 617-624(2013).
[5] YOON I, JEONG S, JEONG J et al. Wavelength-adaptive dehazing using histogram merging-based classification for UAV images[J]. Sensors (Basel), 15, 6633-6651(2015).
[6] ZHANG H, PATEL V M. Densely connected pyramid dehazing network[C], 3194-3203(2018).
[7] YIN, WANG, YANG, YIN, WANG, YANG, YIN, WANG, YANG. A novel residual dense pyramid network for image dehazing[J]. Entropy, 21, 1123(2019).
[8] CHEN D D, HE M M, FAN Q N et al. Gated context aggregation network for image dehazing and deraining[C], 1375-1383(2019).
[9] SHAO Y J, LI L, REN W Q et al. Domain adaptation for image dehazing[C], 2805-2814(2020).
[10] YIN S B, WANG Y B, YANG Y H. A novel image-dehazing network with a parallel attention block[J]. Pattern Recognition, 102, 107255(2020).
[11] [11] 11周自维, 王朝阳, 徐亮. 基于融合门网络的图像理解算法设计与应用[J]. 光学 精密工程, 2021, 29(4): 906-915. doi: 10.37188/OPE.20212904.0906ZHOUZ W, WANGCH Y, XUL. Design and application of image captioning algorithm based on fusion gate neural network[J]. Opt. Precision Eng., 2021, 29(4): 906-915. (in Chinese). doi: 10.37188/OPE.20212904.0906
[12] SANG H W, ZHOU Q H, ZHAO Y. PCANet: Pyramid convolutional attention network for semantic segmentation[J]. Image and Vision Computing, 103, 103997(2020).
[13] [13] 13徐胜军, 欧阳朴衍, 郭学源, 等. 多尺度特征融合空洞卷积 ResNet遥感图像建筑物分割[J]. 光学 精密工程, 2020, 28(7): 1588-1599. doi: 10.37188/ope.20202807.1588XUSH J, OUYANGP Y, GUOX Y, et al. Building segmentation in remote sensing image based on multiscale-feature fusion dilated convolution resnet[J]. Opt. Precision Eng., 2020, 28(7): 1588-1599. (in Chinese). doi: 10.37188/ope.20202807.1588
[14] [14] 14鞠默然, 罗海波, 刘广琦, 等. 采用空间注意力机制的红外弱小目标检测网络[J]. 光学 精密工程, 2021, 29(4): 843-853. doi: 10.37188/OPE.20212904.0843JUM R, LUOH B, LIUG Q, et al. Infrared dim and small target detection network based on spatial attention mechanism[J]. Opt. Precision Eng., 2021, 29(4): 843-853. (in Chinese). doi: 10.37188/OPE.20212904.0843
[15] LI B Y, REN W Q, FU D P et al. Benchmarking single-image dehazing and beyond[J]. IEEE Transactions on Image Processing, 28, 492-505(2019).
[16] [16] 16姚婷婷, 梁越, 柳晓鸣, 等. 基于雾线先验的时空关联约束视频去雾算法[J]. 电子与信息学报, 2020, 42(11): 2796-2804. doi: 10.11999/JEIT190403YAOT T, LIANGY, LIUX M, et al. Video dehazing algorithm via haze-line prior with spatiotemporal correlation constraint[J]. Journal of Electronics & Information Technology, 2020, 42(11): 2796-2804. (in Chinese). doi: 10.11999/JEIT190403
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Yan-ru FENG, Yi-bin WANG. Dehazing using a decomposition-composition and recurrent refinement network based on the physical imaging model[J]. Optics and Precision Engineering, 2021, 29(11): 2692
Category: Information Sciences
Received: May. 21, 2021
Accepted: --
Published Online: Dec. 10, 2021
The Author Email: Yi-bin WANG (yibeen.wong@gmail.com)