基于場景傳輸漸進估計的單幅圖像能見度快速復原
doi: 10.11999/JEIT150515
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2.
(湖北大學計算機與信息工程學院 武漢 430062) ②(武漢大學計算機學院 武漢 430072)
基金項目:
國家自然科學基金 (61300125)
Fast Visibility Restoration of Single Image by Progressive Scene Transmission Estimation
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1.
(School of Computer Science and Information Engineering, Hubei University, Wuhan 430062, China)
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2.
(School of Computer Science and Information Engineering, Hubei University, Wuhan 430062, China)
Funds:
The National Natural Science Foundation of China (61300125)
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摘要: 該文提出一種基于場景傳輸漸進估計的單幅圖像能見度快速復原方法。利用場景輻射的邊界條件,結合大氣散射模型估計場景傳輸?shù)某跏贾?,并采用遞歸雙邊濾波對其精化。通過梯度域遞歸雙邊濾波分解復原結果,對得到的基層和細節(jié)層分別進行色調(diào)調(diào)整和增強,獲取高質(zhì)量的清晰圖像。利用高斯KD樹對原始圖像的高維特征空間進行自適應剖分,獲取其高斯采樣以加速復原計算。與相關工作比較,所提方法能夠保持邊緣和細節(jié),有效避免光暈效應。采用客觀指標評價復原結果。實驗結果表明,該方法有效易行,復原結果更加符合真實場景。Abstract: A fast visibility restoration method of single image by progressive scene transmission estimation is proposed. Based on the boundary conditions of scene radiance and the atmosphere scattering model, the initial value of the scene transmission is estimated and refined with recursive bilateral filtering. The restoration result is decomposed into a base layer and a detail layer by gradient domain recursive bilateral filtering. The high visibility?restoration result is obtained with tone mapping of the base layer and detail enhancement. Utilizing Gaussian KD tree, the high dimensional feature space of the original image is subdivided adaptively to obtain the Gaussian sampling and accelerate the restoration computing. Compared with related work, the proposed method preserves edges and details, avoiding the halo effectively. The objective indicators are applied to evaluate the restoration results. The experiment results show that the proposed method is effective and feasible, and the restoration results accord with the real scene better.
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