Higher-order Markov Random Fields Defogging Based on Color Lines

BI Duyan; SUI Ping; HE Linyuan; MA Shiping

doi:10.11999/JEIT151308

Volume 38 Issue 9

Sep. 2016

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BI Duyan, SUI Ping, HE Linyuan, MA Shiping . Higher-order Markov Random Fields Defogging Based on Color Lines[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2405-2409. doi: 10.11999/JEIT151308

Citation:

BI Duyan, SUI Ping, HE Linyuan, MA Shiping . Higher-order Markov Random Fields Defogging Based on Color Lines[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2405-2409. doi: 10.11999/JEIT151308

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Higher-order Markov Random Fields Defogging Based on Color Lines

doi: 10.11999/JEIT151308

Funds:

The National Natural Science Foundation of China (61372167, 61379140)

Received Date: 2015-11-23
Rev Recd Date: 2016-04-15
Publish Date: 2016-09-19

Abstract

Abstract

Compared with the first-order Markov random fields, higher-order Markov random fields could incorporate more statistical priors, thus have much expressive power of modeling. And the defogged images which based on dark channel prior have much error in sky regions and big white blocks. To solve those problems, this paper proposes a Markov random fields defogging method based on Color Lines. This method corrects the dark channel prior, according to the color lines which has a good robustness to color distortion, then uses the higher-order Markov random fields to optimize the transmission image to obtain final defogged image. The experimental results show that this method could improve the image resolution, while maintaining more image details.
- Image defogging,
- Dark channel prior,
- Higher-order Markov random fields,
- Color Lines

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References(15)

References

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