Fast Single Image Fog Removal Using the Adaptive Wiener Filter

We present in this work a fast single image defogging method that uses a novel approach to refining the estimate of amount of fog in an image with the Locally Adaptive Wiener Filter. We provide a solution for estimating noise parameters for the filter when the observation and noise are correlated by decorrelating with a naively estimated defogged image. We demonstrate our method is 50 to 100 times faster than existing fast single image defogging methods and that our proposed method subjectively performs as well as the Spectral Matting smoothed Dark Channel Prior method.

Paper Accepted

Wiener Defog Results

    Figure 1 - Elapsed Time vs. Image Size

    Visibresto [1], MDCP [2], Gaussian smoothed DCP [3], Our proposed One-step and Two-step Wiener Defog methods.

Original [4]

Visibresto [1]

Dark Channel Prior [4]

Wiener Defog 2-step

    Transmission »

Original [5]

Visibresto [1]

Dark Channel Prior [4]

Wiener Defog 2-step

    Transmission »

Original [4]

Visibresto [1]

Dark Channel Prior [4]

Wiener Defog 2-step

    Transmission »

Original

Visibresto [1]

Dark Channel Prior [4]

Wiener Defog 2-step

    Transmission »

Original [5]

Visibresto [1]

Dark Channel Prior [4]

Wiener Defog 2-step

    Transmission »

Original [4]

Visibresto [1]

Dark Channel Prior [4]

Wiener Defog 2-step

    Transmission »

Original [4]

Visibresto [1]

Dark Channel Prior [4]

Wiener Defog 2-step

    Transmission »

Original [5]

Visibresto [1]

Dark Channel Prior [4]

Wiener Defog 2-step

    Transmission »

References

[1] Tarel JP, Hautiere N: Fast Visibility Restoration from a Single Color or Gray Level Image. In ICCV, Kyoto, Japan 2009, pp. 2201–2208.
[2] Gibson, K.B.; Vo, D.T.; Nguyen, T.Q.; , An Investigation of Dehazing Effects on Image and Video Coding, Image Processing, IEEE Transactions on , vol.21, no.2, pp.662-673, Feb. 2012
[3] Long, J.; Shi, Z.; and Tang, W.; , Fast haze removal for a single remote sensing image using dark channel prior, in Computer Vision in Remote Sensing (CVRS), 2012 International Conference on, dec. 2012, pp. 132 –135
[4] Kaiming He; Jian Sun; Xiaoou Tang; , Single image haze removal using dark channel prior, CVPR 2009, pp.1956-1963
[5] Fattal, R.; Single Image Dehazing. In ACM Transactions on Graphics, Volume 27 2008:1.