激光与光电子学进展, 2019, 56 (20): 201003, 网络出版: 2019-10-22   

基于全卷积回归网络的图像去雾算法 下载: 877次

Image Dehazing Algorithm Based on Full Convolution Regression Network
作者单位
华南师范大学物理与电信工程学院, 广东 广州 510006
引用该论文

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.

参考文献

[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.

    Liu G, Lü Q B, Liu Y Y. Single image dehazing algorithm based on adaptive dark channel prior[J]. Acta Photonica Sinica, 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}

[7] Zhu Q S, Mai J M, Shao L. A fast single image haze removal algorithm using color attenuation prior[J]. IEEE Transactions on Image Processing, 2015, 24(11): 3522-3533.

[8] Zhang K P, Zhang Z P, Li Z F, et al. Joint face detection and alignment using multitask cascaded convolutional networks[J]. IEEE Signal Processing Letters, 2016, 23(10): 1499-1503.

[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.

[11] 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.

[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.

    Zhou F Y, Jin L P, Dong J. Review of convolutional neural network[J]. Chinese Journal of Computers, 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}

[16] He K M, Sun J, Tang X O. Guided image filtering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(6): 1397-1409.

[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.

    Fei Y J, Shao F. Contrast adjustment based on image retrieval[J]. Laser & Optoelectronics Progress, 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.

    Wang L J, Yang Y Y, Dai M, et al. Near infrared spectral pre-processing algorithm based on histogram layering mapping[J]. Laser & Optoelectronics Progress, 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.

本文已被 1 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!