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An edge-preserving filtering framework for visibility restoration
In this paper, we propose a new framework for edge-preserving texture-smoothing filtering to improve the visibility of images in presence of haze or fog. The proposed framework can effectively achieve strong texture smoothing while keeping edges sharp, and any low-pass filter can be directly integra...
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| creator | Linchao Bao Yibing Song Qingxiong Yang Ahuja, N. |
| description | In this paper, we propose a new framework for edge-preserving texture-smoothing filtering to improve the visibility of images in presence of haze or fog. The proposed framework can effectively achieve strong texture smoothing while keeping edges sharp, and any low-pass filter can be directly integrated into the framework. Our experiments with three popular low-pass filters (Gaussian filter, median filter and bilateral filter) show that our framework can better preserve the contrast around edges than the original filters. The visibility restoration algorithm based on our framework outperforms existing filtering-based algorithm without losing the speed advantage compared to non-filtering-based algorithms. |
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| ispartof | Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), 2012, p.384-387 |
| issn | 1051-4651 2831-7475 |
| language | eng |
| recordid | cdi_ieee_primary_6460152 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Equations Filtering Image color analysis Image edge detection Image restoration Mathematical model Smoothing methods |
| title | An edge-preserving filtering framework for visibility restoration |
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