光子学报, 2020, 49 (7): 0710001, 网络出版: 2020-08-25   

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

Image Dehazing Method Based on Light Field Depth Estimation and Atmospheric Scattering Model
作者单位
合肥工业大学 计算机与信息学院, 合肥 230009
引用该论文

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.

参考文献

[1] NARASIMHAN S G, NAYAR S K. Contrast restoration of weather degraded images[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2003(6): 713-724.

[2] MCCARTNEY E J. Optics of the atmosphere:scattering by molecules and particles[M]. New York, John Wiley and Sons, Inc., 1976:421.

[3] KIM K, KIM S, KIM K S. Effective image enhancement techniques for fog-affected indoor and outdoor images[J]. Iet Image Processing, 2018, 12(4): 465-471.

[4] LI J Y, HU Q W, AI M Y. Haze and thin cloud removal via sphere model improved dark channel prior[J]. IEEE Geoscience and Remote Sensing Letters, 2019, 16(3): 472-476.

[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.

[7] JIANG B, MENG H, ZHAO J. Single image fog and haze removal based on self-adaptive guided image filter and color channel information of sky region[J]. Multimedia Tools and Applications, 2018, 77(11): 13513-13530.

[8] ZHU Y, TANG G, ZHANG X. Haze removal method for natural restoration of images with sky[J]. Neurocomputing, 2018, 275: 499-510.

[9] HE K, SUN J, TANG X. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 33(12): 2341-2353.

[10] ZHU Q, MAI J, SHAO L. A fast single image haze removal algorithm using color attenuation prior[J]. IEEE Transactions on Image Processing, 2015, 24(11): 3522-3533.

[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.

[13] NIE Y F, BIN X, ZHOU Z L. Advances in light field photography technique[J]. Journal of the Graduate School of the Chinese Academy of Sciences, 2011, 28(5): 563-573.

[14] ZHANG Xu-dong, 张 旭东, 李 成云, LI Cheng-yun, WANG Yi-zhi, 汪 义志. 遮挡场景的光场图像深度估计方法[J]. 控制与决策, 2018, 33(12): 2122-2130.

[15] WANNER S, GOLDLUECKE B. Variational light field analysis for disparity estimation and super-resolution[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 36(3): 606-619.

[16] Lytro.[OL]. Available: https:illum.lytro.com.

[17] ZHANG S, SHENG H, LI C. Robust depth estimation for light field via spinning parallelogram operator[J]. Computer Vision and Image Understanding, 2016, 145: 148-159.

[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.

本文已被 3 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!