A Unified Framework of Single Image Haze Removal under Different Weather Conditions

Outdoor images are usually affected by haze, fog and smoke which are such phenomena due to atmospheric scatting, so that the degraded images suffer from the loss of contrast and color fidelity. In this paper, we summed up a variety of haze removal techniques which are grouped into two categories: physics based and non physics based, and processed some hazy images under different weather conditions. Then, we make a comparison among these results, and analyze their advantages and shortcomings, estimate the appropriate haze removed technique for each weather condition. Finally, we lay further discussions on technical challenges and future development.

[1]  Raanan Fattal Single image dehazing , 2008, SIGGRAPH 2008.

[2]  E H Land,et al.  Recent advances in retinex theory and some implications for cortical computations: color vision and the natural image. , 1983, Proceedings of the National Academy of Sciences of the United States of America.

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

[4]  Zia-ur Rahman,et al.  Properties and performance of a center/surround retinex , 1997, IEEE Trans. Image Process..

[5]  Antti Oulasvirta,et al.  Computer Vision – ECCV 2006 , 2006, Lecture Notes in Computer Science.

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

[7]  Zia-ur Rahman,et al.  Multi-scale retinex for color image enhancement , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[8]  E. Land Recent advances in retinex theory , 1986, Vision Research.

[9]  John D. Austin,et al.  Adaptive histogram equalization and its variations , 1987 .

[10]  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.

[11]  E H Land,et al.  An alternative technique for the computation of the designator in the retinex theory of color vision. , 1986, Proceedings of the National Academy of Sciences of the United States of America.

[12]  Donghua Zhou,et al.  Fast haze removal from a single image , 2013, 2013 25th Chinese Control and Decision Conference (CCDC).

[13]  Zia-ur Rahman,et al.  A multiscale retinex for bridging the gap between color images and the human observation of scenes , 1997, IEEE Trans. Image Process..