Non-local Dehazing enhanced by color gradient

Ubiquitous visual surveillance is critical to public security. Unfortunately, adverse weathers, especially haze, degrade visual surveillance quality evidently, so dehazing is commonly used to limit the interference of haze. Unlike traditional dehazing methods that use various patch-based priors, non-local dehazing employs color index and regularization to estimate and refine initial transmission, respectively. However, currently non-local dehazing has not made the most of pixel neighborhood relation, so the edge details cannot be preserved powerfully. Since the gradient represents the difference between the adjacent pixels, the non-local dehazing algorithm is enhanced by color gradient in this paper. The color index and color gradient are jointly clustered to improve the accuracy of initial transmission. Finally the haze is removed according to the transmission refined by guided filter. The experimental results show that the proposed non-local dehazed algorithm enhanced by color gradient can effectively maintain the edge details and improve the performance of dehazing.

[1]  Jian Sun,et al.  Fast Guided Filter , 2015, ArXiv.

[2]  Xiangmin Xu,et al.  Dehazing with improved heterogeneous atmosphere light estimation and a nonlinear color attenuation prior model , 2016, 2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP).

[3]  Shree K. Nayar,et al.  Removing weather effects from monochrome images , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[4]  Minh N. Do,et al.  Robust Image and Video Dehazing with Visual Artifact Suppression via Gradient Residual Minimization , 2016, ECCV.

[5]  Zhan Ji.  Simultaneous Dehazing and Denoising of Single Hazing Image , 2012 .

[6]  Sambit Bakshi,et al.  Illumination and scale invariant relevant visual features with hypergraph-based learning for multi-shot person re-identification , 2017, Multimedia Tools and Applications.

[7]  Bo Jiang,et al.  Novel multi-scale retinex with color restoration on graphics processing unit , 2014, Journal of Real-Time Image Processing.

[8]  Saurabh Maheshwari,et al.  Multi-domain Image Enhancement of Foggy Images Using Contrast Limited Adaptive Histogram Equalization Method , 2016 .

[9]  Oscar Castillo,et al.  Color Image Edge Detection Method Based on Interval Type-2 Fuzzy Systems , 2015, Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization.

[10]  Yuan-Kai Wang,et al.  Single Image Defogging by Multiscale Depth Fusion , 2014, IEEE Transactions on Image Processing.

[11]  Sambit Bakshi,et al.  An Evaluation of Background Subtraction for Object Detection Vis-a-Vis Mitigating Challenging Scenarios , 2016, IEEE Access.

[12]  Shree K. Nayar,et al.  Vision and the Atmosphere , 2002, International Journal of Computer Vision.

[13]  Wu Hui-zhong.  Method of defogging image of outdoor scenes based on PDE , 2007 .

[14]  Xiaochun Cao,et al.  Single Image Dehazing via Multi-scale Convolutional Neural Networks , 2016, ECCV.

[15]  Sambit Bakshi,et al.  Spatiotemporal optical blob reconstruction for object detection in grayscale videos , 2016, Multimedia Tools and Applications.

[16]  Jian Sun,et al.  Guided Image Filtering , 2010, ECCV.

[17]  Shai Avidan,et al.  Non-local Image Dehazing , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[18]  Swapnil Jain,et al.  Edge detection of license plate using Sobel operator , 2016, 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT).

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

[20]  Sambit Bakshi,et al.  Improved pedestrian detection using motion segmentation and silhouette orientation , 2017, Multimedia Tools and Applications.

[21]  Ling Shao,et al.  A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior , 2015, IEEE Transactions on Image Processing.

[22]  Oscar Castillo,et al.  Edge Detection Methods and Filters Used on Digital Image Processing , 2017 .

[23]  Shree K. Nayar,et al.  Contrast Restoration of Weather Degraded Images , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[24]  Mauridhi Hery Purnomo,et al.  Visibility restoration of lake crater hazy image based on dark channel prior , 2016, 2016 International Computer Science and Engineering Conference (ICSEC).

[25]  Shin'ichi Satoh,et al.  [Foreword] Welcome to the Special Section on Invited Papers of Media Technology and Applications , 2018 .

[26]  Nor Ashidi Mat Isa,et al.  A new histogram equalization method for digital image enhancement and brightness preservation , 2013, Signal, Image and Video Processing.

[27]  Gaofeng Meng,et al.  Efficient Image Dehazing with Boundary Constraint and Contextual Regularization , 2013, 2013 IEEE International Conference on Computer Vision.