Semiconductor Optoelectronics, Volume. 46, Issue 3, 567(2025)
Dark Channel Dehazing Based on Multi-Scale Edge-Aware Filtering
Foggy weather often reduces the image quality captured by imaging devices, leading to lower target contrast and blurred contours. While traditional dark channel dehazing algorithms are effective, they tend to produce halo artifacts and excessive smoothing in areas with sharp edges and significant depth variation. To address this, a dark channel dehazing algorithm based on multi-scale edge-aware filtering is proposed. This algorithm introduces edge-aware filtering weights into the guided filtering cost function to adjust the degree of smoothing dynamically. The transmission map is then refined using weighted calculations with multiple edge-aware filters of different scales. Finally, the atmospheric light intensity and the transmission map obtained by the proposed algorithm are substituted into the atmospheric scattering model to recover the haze-free image. Experimental results show that, compared to traditional methods, the proposed algorithm improves image quality in terms of information entropy, average gradient, standard deviation, and color uniformity by 7.60%, 36.19%, 54.25%, and 47.59%, respectively. Overall, the proposed algorithm outperforms traditional methods in dehazing, effectively restores image details, and demonstrates promising application prospects.
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CHENG Changchuan, DAI Jinwei, GUO Zhongyuan, DAI Shaosheng, JIANG Dachuan. Dark Channel Dehazing Based on Multi-Scale Edge-Aware Filtering[J]. Semiconductor Optoelectronics, 2025, 46(3): 567
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Received: Mar. 31, 2025
Accepted: Sep. 18, 2025
Published Online: Sep. 18, 2025
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