应用光学, 2019, 40 (4): 596, 网络出版: 2019-11-05   

基于全卷积神经网络的图像去雾算法

Image defogging algorithm combined with full convolution neural network
作者单位
西安建筑科技大学 理学院, 陕西 西安 710055
引用该论文

陈清江, 张雪. 基于全卷积神经网络的图像去雾算法[J]. 应用光学, 2019, 40(4): 596.

CHEN Qingjiang, ZHANG Xue. Image defogging algorithm combined with full convolution neural network[J]. Journal of Applied Optics, 2019, 40(4): 596.

参考文献

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[14] 徐岩,孙美双.基于多特征融合的卷积神经网络图像去雾算法[J].激光与光电子学进展, 2018, 55(3): 260-269.

    XU Yan, SUN Meishuang. Convolution neural network image defogging based on multi-feature fusion[J]. Laser & Optoelectronics Progress, 2018, 55 (3): 260-269.

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[16] MANNOS J L, SAKRISON D J. The effects of a visual fidelity criterion of the encoding of images[J]. IEEE Transactions on Information Theory, 1974, 20(4): 525-536.第40卷 第4期2019年7月应 用 光 学Journal of Applied OpticsVol.40 No.4Jul. 2019

陈清江, 张雪. 基于全卷积神经网络的图像去雾算法[J]. 应用光学, 2019, 40(4): 596. CHEN Qingjiang, ZHANG Xue. Image defogging algorithm combined with full convolution neural network[J]. Journal of Applied Optics, 2019, 40(4): 596.

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