SINGLE IMAGE FOG REMOVAL BASED ON DARK CHANNEL PRIOR AND LOCAL EXTREMA

In this paper, we propose a novel atmospheric model–based defogging method from single image, for the image degraded by scattering due to atmospheric particles. The main advantage of the proposed algorithm compared with previous techniques is that it can reduce the Halo and blocking effects physically. We estimate the transmission using local extrema principle and bilateral filter that a high quality depth map can be obtained. Experiments on a variety of outdoor haze images demonstrate that our algorithm can restore well colors and contrast of the observed objects, improve the visibility of image and avoid the Halo and blocking effects effectively.

[1]  Ko Nishino,et al.  Factorizing Scene Albedo and Depth from a Single Foggy Image , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[2]  Robby T. Tan,et al.  Visibility in bad weather from a single image , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[3]  Qingmin Liao,et al.  Fast single image fog removal using edge-preserving smoothing , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[4]  Dani Lischinski,et al.  Colorization using optimization , 2004, ACM Trans. Graph..

[5]  Jean-Philippe Tarel,et al.  Fast visibility restoration from a single color or gray level image , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[6]  Xiaoou Tang,et al.  Single Image Haze Removal Using Dark Channel Prior , 2011 .

[7]  Dani Lischinski,et al.  A Closed-Form Solution to Natural Image Matting , 2008 .

[8]  Dapeng Li,et al.  Physics-based fast single image fog removal , 2010, IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS.

[9]  Shree K. Nayar,et al.  Chromatic framework for vision in bad weather , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[10]  Roberto Manduchi,et al.  Bilateral filtering for gray and color images , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

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

[12]  Frédo Durand,et al.  Edge-preserving multiscale image decomposition based on local extrema , 2009, ACM Trans. Graph..

[13]  Peter Carr,et al.  Improved Single Image Dehazing Using Geometry , 2009, 2009 Digital Image Computing: Techniques and Applications.

[14]  Ben Weiss,et al.  Fast median and bilateral filtering , 2006, ACM Trans. Graph..