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AIF-LFNet: All-in-Focus Light Field Super-Resolution Method Considering the Depth-Varying Defocus 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 8, 页码: 3976-3988
作者:  Zhou, Shubo;  Hu, Liang;  Wang, Yunlong;  Sun, Zhenan;  Zhang, Kunbo;  Jiang, Xue-Qin
收藏  |  浏览/下载：110/0  |  提交时间：2023/11/17
Light field imaging  super-resolution  depth-varying defocus  dataset  convolutional neural network  
Beyond Single Reference for Training: Underwater Image Enhancement via Comparative Learning 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 6, 页码: 2561-2576
作者:  Li, Kunqian;  Wu, Li;  Qi, Qi;  Liu, Wenjie;  Gao, Xiang;  Zhou, Liqin;  Song, Dalei
收藏  |  浏览/下载：96/0  |  提交时间：2023/11/17
Training  Image enhancement  Visualization  Task analysis  Generators  Deep learning  Oceans  Underwater image enhancement  deep learning  convolutional neural network  comparative learning  blind image quality assessment