基于全卷积回归网络的图像去雾算法 下载: 877次
张泽浩, 周卫星. 基于全卷积回归网络的图像去雾算法[J]. 激光与光电子学进展, 2019, 56(20): 201003.
Zehao Zhang, Weixing Zhou. Image Dehazing Algorithm Based on Full Convolution Regression Network[J]. Laser & Optoelectronics Progress, 2019, 56(20): 201003.
[1] 刘国, 吕群波, 刘扬阳. 基于自适应暗原色的单幅图像去雾算法[J]. 光子学报, 2018, 47(2): 0210001.
[2] Fattal R. Single image dehazing[J]. ACM Transactions on Graphics, 2008, 27(3): 721-728.
[3] Tan[\s]{1}RT.[\s]{1}Visibility[\s]{1}in[\s]{1}bad[\s]{1}weather[\s]{1}from[\s]{1}a[\s]{1}single[\s]{1}image[C]∥2008[\s]{1}IEEE[\s]{1}Conference[\s]{1}on[\s]{1}Computer[\s]{1}Vision[\s]{1}and[\s]{1}Pattern[\s]{1}Recognition,[\s]{1}June[\s]{1}23-28,[\s]{1}2008,[\s]{1}Anchorage,[\s]{1}AK,[\s]{1}USA.[\s]{1}New[\s]{1}York:[\s]{1}IEEE,[\s]{1}2008:[\s]{1}10139948.[\s]{1}
[4] He[\s]{1}KM,[\s]{1}SunJ,[\s]{1}Tang[\s]{1}XO.[\s]{1}Single[\s]{1}image[\s]{1}haze[\s]{1}removal[\s]{1}using[\s]{1}dark[\s]{1}channel[\s]{1}prior[C]∥2009[\s]{1}IEEE[\s]{1}Conference[\s]{1}on[\s]{1}Computer[\s]{1}Vision[\s]{1}and[\s]{1}Pattern[\s]{1}Recognition,[\s]{1}June[\s]{1}20-25,[\s]{1}2009,[\s]{1}Miami,[\s]{1}FL,[\s]{1}USA.[\s]{1}New[\s]{1}York:[\s]{1}IEEE,[\s]{1}2009:[\s]{1}1956-[\s]{1}1963.[\s]{1}
[5] Meng[\s]{1}GF,[\s]{1}WangY,[\s]{1}Duan[\s]{1}JY,[\s]{1}et[\s]{1}al.[\s]{1}Efficient[\s]{1}image[\s]{1}dehazing[\s]{1}with[\s]{1}boundary[\s]{1}constraint[\s]{1}and[\s]{1}contextual[\s]{1}regularization[C]∥2013[\s]{1}IEEE[\s]{1}International[\s]{1}Conference[\s]{1}on[\s]{1}Computer[\s]{1}Vision,[\s]{1}December[\s]{1}1-8,[\s]{1}2013,[\s]{1}Sydney,[\s]{1}NSW,[\s]{1}Australia.[\s]{1}New[\s]{1}York:[\s]{1}IEEE,[\s]{1}2013:[\s]{1}14144884.[\s]{1}
[6] BermanD,[\s]{1}TreibitzT,[\s]{1}AvidanS.[\s]{1}Non-local[\s]{1}image[\s]{1}dehazing[C]∥2016[\s]{1}IEEE[\s]{1}Conference[\s]{1}on[\s]{1}Computer[\s]{1}Vision[\s]{1}and[\s]{1}Pattern[\s]{1}Recognition[\s]{1}(CVPR),[\s]{1}June[\s]{1}27-30,[\s]{1}2016,[\s]{1}Las[\s]{1}Vegas,[\s]{1}NV,[\s]{1}USA.[\s]{1}New[\s]{1}York:[\s]{1}IEEE,[\s]{1}2016:[\s]{1}1674-[\s]{1}1682.[\s]{1}
[9] Shelhamer E, Long J, Darrell T. Fully convolutional networks for semantic segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(4): 640-651.
[10] Yu Y H, Lin H F, Meng J N, et al. Deep transfer learning for modality classification of medical images[J]. Information, 2017, 8(3): 91.
[12] 周飞燕, 金林鹏, 董军. 卷积神经网络研究综述[J]. 计算机学报, 2017, 40(6): 1229-1251.
[13] Li[\s]{1}ZW,[\s]{1}TanP,[\s]{1}Tan[\s]{1}RT,[\s]{1}et[\s]{1}al.[\s]{1}Simultaneous[\s]{1}video[\s]{1}defogging[\s]{1}and[\s]{1}stereo[\s]{1}reconstruction[C]∥2015[\s]{1}IEEE[\s]{1}Conference[\s]{1}on[\s]{1}Computer[\s]{1}Vision[\s]{1}and[\s]{1}Pattern[\s]{1}Recognition[\s]{1}(CVPR),[\s]{1}June[\s]{1}7-12,[\s]{1}2015,[\s]{1}Boston,[\s]{1}MA,[\s]{1}USA.[\s]{1}New[\s]{1}York:[\s]{1}IEEE,[\s]{1}2015:[\s]{1}4988-[\s]{1}4997.[\s]{1}
[14] Narasimhan[\s]{1}SG,[\s]{1}Nayar[\s]{1}SK.[\s]{1}Chromatic[\s]{1}framework[\s]{1}for[\s]{1}vision[\s]{1}in[\s]{1}bad[\s]{1}weather[C]∥IEEE[\s]{1}Conference[\s]{1}on[\s]{1}Computer[\s]{1}Vision[\s]{1}and[\s]{1}Pattern[\s]{1}Recognition[\s]{1}(CVPR),[\s]{1}June[\s]{1}15,[\s]{1}2000,[\s]{1}Hilton[\s]{1}Head[\s]{1}Island,[\s]{1}SC,[\s]{1}USA.[\s]{1}New[\s]{1}York:[\s]{1}IEEE,[\s]{1}2002:[\s]{1}598-[\s]{1}605.[\s]{1}
[15] LainaI,[\s]{1}RupprechtC,[\s]{1}BelagiannisV,[\s]{1}et[\s]{1}al.[\s]{1}Deeper[\s]{1}depth[\s]{1}prediction[\s]{1}with[\s]{1}fully[\s]{1}convolutional[\s]{1}residual[\s]{1}networks[C]∥2016[\s]{1}Fourth[\s]{1}International[\s]{1}Conference[\s]{1}on[\s]{1}3D[\s]{1}Vision[\s]{1}(3DV),[\s]{1}October[\s]{1}25-28,[\s]{1}2016,[\s]{1}Stanford,[\s]{1}CA,[\s]{1}USA.[\s]{1}New[\s]{1}York:[\s]{1}IEEE,[\s]{1}2016:[\s]{1}239-[\s]{1}248.[\s]{1}
[17] 费延佳, 邵枫. 基于图像检索的对比度调整[J]. 激光与光电子学进展, 2018, 55(5): 051002.
[18] 王丽杰, 杨羽翼, 代敏, 等. 基于直方图分层映射的近红外光谱预处理算法[J]. 激光与光电子学进展, 2017, 54(9): 093001.
张泽浩, 周卫星. 基于全卷积回归网络的图像去雾算法[J]. 激光与光电子学进展, 2019, 56(20): 201003. Zehao Zhang, Weixing Zhou. Image Dehazing Algorithm Based on Full Convolution Regression Network[J]. Laser & Optoelectronics Progress, 2019, 56(20): 201003.