[1] 蒲亨飞, 黄治勇.图像去雾算法研究综述[J].软件工程, 2021, 24(5):2-6. PU H F, HUANG Z Y.An overview of research on image dehazing algorithms[J].Software Engineering, 2021, 24(5):2-6.(in Chinese) [2] 王道累, 张天宇.图像去雾算法的综述及分析[J].图学学报, 2020, 41(6):861-870. WANG D L, ZHANG T Y.Review and analysis of image defogging algorithm[J].Journal of Graphics, 2020, 41(6):861-870.(in Chinese) [3] BERMAN D, TREIBITZ T, AVIDAN S.Non-local image dehazing[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C., USA:IEEE Press, 2016:1674-1682. [4] 陈子妍, 龙道银, 王霄, 等.基于逆通道与改进引导滤波的暗通道去雾算法[J].计算机工程, 2021, 47(6):245-252. CHEN Z Y, LONG D Y, WANG X, et al.Dark channel defogging algorithm based on inverse channel and improved guided filtering[J].Computer Engineering, 2021, 47(6):245-252.(in Chinese) [5] 丁洁, 陆安江, 彭熙舜.结合暗通道和Retinex理论的图像去雾算法[J].激光杂志, 2021, 42(12):102-107. DING J, LU A J, PENG X S.Image dehazing algorithm combining dark channel and Retinex theory[J].Laser Journal, 2021, 42(12):102-107.(in Chinese) [6] 杨燕, 梁小珍.基于光幕约束和分段调整的去雾算法[J].光子学报, 2021, 50(5):249-258. YANG Y, LIANG X Z.Dehazing algorithm based on atmospheric veil constraint and piecewise adjustment[J].Acta Photonica Sinica, 2021, 50(5):249-258.(in Chinese) [7] 高涛, 刘梦尼, 陈婷, 等.结合暗亮通道先验的远近景融合去雾算法[J].西安交通大学学报, 2021, 55(10):78-86. GAO T, LIU M N, CHEN T, et al.A far and near scene fusion defogging algorithm based on the prior of dark-light channel[J].Journal of Xi'an Jiaotong University, 2021, 55(10):78-86.(in Chinese) [8] 杨燕, 张金龙.基于雾度分布与自适应衰减的图像去雾算法[J].激光与光电子学进展, 2021, 58(22):210-219. YANG Y, ZHANG J L.Image dehazing algorithm based on haze distribution and adaptive attenuation[J].Laser & Optoelectronics Progress, 2021, 58(22):210-219.(in Chinese) [9] REN W Q, LIU S, ZHANG H, et al.Single image dehazing via multi-scale convolutional neural networks[C]//Proceedings of European Conference on Computer Vision.Berlin, Germany:Springer, 2016:154-169. [10] CAI B L, XU X M, JIA K, et al.DehazeNet:an end-to-end system for single image haze removal[J].IEEE Transactions on Image Processing, 2016, 25(11):5187-5198. [11] LI B Y, PENG X L, WANG Z Y, et al.AOD-net:all-in-one dehazing network[C]//Proceedings of IEEE International Conference on Computer Vision.Washington D.C., USA:IEEE Press, 2017:4780-4788. [12] ZHANG H, PATEL V M.Densely connected pyramid dehazing network[C]//Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition.Washington D.C., USA:IEEE Press, 2018:3194-3203. [13] ZHANG H, SINDAGI V, PATEL V M.Multi-scale single image dehazing using perceptual pyramid deep network[C]//Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop.Washington D.C., USA:IEEE Press, 2018:1015-101509. [14] 张婷, 赵杏, 陈文欣.基于条件生成对抗网络的图像去雾方法[J].计算机应用, 2021, 41(S2):248-253. ZHANG T, ZHAO X, CHEN W X.Image dehazing method based on conditional generative adversarial network[J].Journal of Computer Applications, 2021, 41(S2):248-253.(in Chinese) [15] 刘杰平, 杨业长, 陈敏园, 等.结合卷积神经网络与动态环境光的图像去雾算法[J].光学学报, 2019, 39(11):120-131. LIU J P, YANG Y Z, CHEN M Y, et al.Image dehazing algorithm based on convolutional neural network and dynamic ambient light[J].Acta Optica Sinica, 2019, 39(11):120-131.(in Chinese) [16] 杨爱萍, 刘瑾, 邢金娜, 等.基于内容特征和风格特征融合的单幅图像去雾网络[J].自动化学报, 2020, 46(7):1-9. YANG A P, LIU J, XING J N, et al.Content feature and style feature fusion network for single image dehazing[J].Acta Automatica Sinica, 2020, 46(7):1-9.(in Chinese) [17] REN W Q, MA L, ZHANG J W, et al.Gated fusion network for single image dehazing[C]//Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition.Washington D.C., USA:IEEE Press, 2018:3253-3261. [18] QU Y Y, CHEN Y Z, HUANG J Y, et al.Enhanced Pix2pix dehazing network[C]//Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition.Washington D.C., USA:IEEE Press, 2019:8152-8160. [19] LIU X H, MA Y R, SHI Z H, et al.GridDehazeNet:attention-based multi-scale network for image dehazing[C]//Proceedings of IEEE/CVF International Conference on Computer Vision.Washington D.C., USA:IEEE Press, 2019:7313-7322. [20] DONG H, PAN J S, XIANG L, et al.Multi-scale boosted dehazing network with dense feature fusion[C]//Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition.Washington D.C., USA:IEEE Press, 2020:2154-2164. [21] SHAO Y J, LI L, REN W Q, et al.Domain adaptation for image dehazing[C]//Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition.Washington D.C., USA:IEEE Press, 2020:2805-2814. [22] CHEN D D, HE M M, FAN Q N, et al.Gated context aggregation network for image dehazing and deraining[C]//Proceedings of IEEE Winter Conference on Applications of Computer Vision.Washington D.C., USA:IEEE Press, 2019:1375-1383. [23] LI B Y, REN W Q, FU D P, et al.Benchmarking single-image dehazing and beyond[J].IEEE Transactions on Image Processing, 2019, 28(1):492-505. [24] ZHANG Y F, DING L, SHARMA G.HazeRD:an outdoor scene dataset and benchmark for single image dehazing[C]//Proceedings of IEEE International Conference on Image Processing.Washington D.C., USA:IEEE Press, 2017:3205-3209. |