Underwater Depth Estimation and Image Restoration Based on Single Images

In underwater environments, the scattering and absorption phenomena affect the propagation of light, degrading the quality of captured images. In this work, the authors present a method based on a physical model of light propagation that takes into account the most significant effects to image degradation: absorption, scattering, and backscattering. The proposed method uses statistical priors to restore the visual quality of the images acquired in typical underwater scenarios.

[1]  Huimin Lu,et al.  Underwater image dehazing using joint trilateral filter , 2014, Comput. Electr. Eng..

[2]  Raanan Fattal,et al.  Single image dehazing , 2008, ACM Trans. Graph..

[3]  Truong Q. Nguyen,et al.  An Investigation of Dehazing Effects on Image and Video Coding , 2012, IEEE Transactions on Image Processing.

[4]  LuHuimin,et al.  Underwater image dehazing using joint trilateral filter , 2014 .

[5]  Codruta O. Ancuti,et al.  Enhancing underwater images and videos by fusion , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[6]  M. Wang,et al.  Removal of water scattering , 2010, 2010 2nd International Conference on Computer Engineering and Technology.

[7]  Silvia Silva da Costa Botelho,et al.  Transmission Estimation in Underwater Single Images , 2013, 2013 IEEE International Conference on Computer Vision Workshops.

[8]  Jean-Philippe Tarel,et al.  BLIND CONTRAST ENHANCEMENT ASSESSMENT BY GRADIENT RATIOING AT VISIBLE EDGES , 2011 .

[9]  Ying-Ching Chen,et al.  Underwater Image Enhancement by Wavelength Compensation and Dehazing , 2012, IEEE Transactions on Image Processing.

[10]  Jian Sun,et al.  Single image haze removal using dark channel prior , 2009, CVPR.

[11]  Krista A. Ehinger,et al.  SUN database: Large-scale scene recognition from abbey to zoo , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[12]  Y.Y. Schechner,et al.  Recovery of underwater visibility and structure by polarization analysis , 2005, IEEE Journal of Oceanic Engineering.

[13]  N Carlevaris-Bianco,et al.  Initial results in underwater single image dehazing , 2010, OCEANS 2010 MTS/IEEE SEATTLE.

[14]  Mohinder Malhotra Single Image Haze Removal Using Dark Channel Prior , 2016 .