Fast Single Image Dehazing Method Based on Interval Estimation

Abstract

Abstract:

Single image dehazing is an ill-posed problem of the image degradation model. Many researches have been done to solve the problem in estimating the global atmospheric light and the medium transmission. In this paper, a simple but effective interval estimation method is proposed to quickly remove haze from a single input image in a new perspective. Firstly, a prior discussion is used to reduce the value scope of global atmospheric light and medium transmission. Secondly, the fast joint bilateral filtering and median filtering are adopted to optimize the edge regions of medium transmission. And by the absolute value of the difference of atmospheric light and dark channel, the bright areas can be judged and amended. Finally, the tone mapping is used to refine the performance of the restored image. Experimental results demonstrate that the proposed method can clearly improve the computational speed and obtain a better restoration effect compared to some state-of-the-art methods.

Key words: image processing, image dehazing, interval estimation, physical model, bilateral filtering, tone mapping

CLC Number:

O435

Tang Qunfang，Liu Haibo . Fast Single Image Dehazing Method Based on Interval Estimation[J]. J4, 2015, 32(5): 531-538.

References

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