结合光场深度估计和大气散射模型的图像去雾方法 下载: 679次
高隽, 褚擎天, 张旭东, 范之国. 结合光场深度估计和大气散射模型的图像去雾方法[J]. 光子学报, 2020, 49(7): 0710001.
Jun GAO, Qing-tian CHU, Xu-dong ZHANG, Zhi-guo FAN. Image Dehazing Method Based on Light Field Depth Estimation and Atmospheric Scattering Model[J]. ACTA PHOTONICA SINICA, 2020, 49(7): 0710001.
[2] MCCARTNEY E J. Optics of the atmosphere:scattering by molecules and particles[M]. New York, John Wiley and Sons, Inc., 1976:421.
[5] CHO Y, SHIN Y S, KIM A. Online depth estimation application to underwater image dehazing[C]. OCEANS 2016 MTSIEEE Monterey, IEEE, 2016.
[6] QING C, HU Y, XU X, et al. Image haze removal using depthbased cluster selfadaptive parameters[C]. 2017 IEEE International Conference on Inter of Things (iThings) IEEE Green Computing Communications (GreenCom) IEEE Cyber, Physical Social Computing (CPSCom) IEEE Smart Data (SmartData), IEEE, 2017: 10701075.
[11] BERMAN D, AVIDAN S. Nonlocal image dehazing[C]. Proceedings of the IEEE Conference on Computer Vision Pattern Recognition, 2016: 16741682.
[12] NG R, LEVOY M, BRéDIF M. Light field photography with a hand-held plenoptic camera[J]. Computer Science Technical Report, 2005, 2(11): 1-11.
[16] Lytro.[OL]. Available: https:illum.lytro.com.
[18] RAJ A S, LOWNEY M, SHAH R. Lightfield database creation depth estimation[R]. Department of Computer Science, Stanfd University, Technical Rept, 2016.
[19] 王 国权, 周 小红, 蔚 立磊. 基于分水岭算法的图像分割方法研究[J]. 计算机仿真, 2009(5): 265-268.
[20] PRICE B L, MSE B S, COHEN S. Geodesic graph cut f interactive image segmentation[C]. Twentythird IEEE Conference on Computer Vision & Pattern Recognition, IEEE, 2010.
高隽, 褚擎天, 张旭东, 范之国. 结合光场深度估计和大气散射模型的图像去雾方法[J]. 光子学报, 2020, 49(7): 0710001. Jun GAO, Qing-tian CHU, Xu-dong ZHANG, Zhi-guo FAN. Image Dehazing Method Based on Light Field Depth Estimation and Atmospheric Scattering Model[J]. ACTA PHOTONICA SINICA, 2020, 49(7): 0710001.