CN110070517B - 基于退化成像机理和生成对抗机制的模糊图像合成方法 - Google Patents
基于退化成像机理和生成对抗机制的模糊图像合成方法 Download PDFInfo
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CN110533582A (zh) * | 2019-08-15 | 2019-12-03 | 中国民航大学 | 一种基于生成式对抗网络的安检x光违禁品图像合成方法 |
CN111105375B (zh) * | 2019-12-17 | 2023-08-22 | 北京金山云网络技术有限公司 | 图像生成方法及其模型训练方法、装置及电子设备 |
CN111199522B (zh) * | 2019-12-24 | 2024-02-09 | 芽米科技(广州)有限公司 | 一种基于多尺度残差生成对抗网络的单图像盲去运动模糊方法 |
CN111860640A (zh) * | 2020-07-17 | 2020-10-30 | 大连海事大学 | 一种基于gan的特定海域数据集增广方法 |
CN112200752B (zh) * | 2020-10-28 | 2022-06-03 | 西华大学 | 一种基于er网络多帧图像去模糊系统及其方法 |
CN113592736B (zh) * | 2021-07-27 | 2024-01-12 | 温州大学 | 一种基于融合注意力机制的半监督图像去模糊方法 |
CN114332269B (zh) * | 2021-12-01 | 2022-12-16 | 华中光电技术研究所(中国船舶重工集团公司第七一七研究所) | 一种模拟水下可见光成像的生成对抗学习方法 |
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Publication number | Priority date | Publication date | Assignee | Title |
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CN102930565A (zh) * | 2012-09-25 | 2013-02-13 | 哈尔滨工业大学 | 一种静止背景中折返运动目标的离散退化图像构造方法 |
CN107610193A (zh) * | 2016-06-23 | 2018-01-19 | 西门子保健有限责任公司 | 使用深度生成式机器学习模型的图像校正 |
CN108416752A (zh) * | 2018-03-12 | 2018-08-17 | 中山大学 | 一种基于生成式对抗网络进行图像去运动模糊的方法 |
CN108550118A (zh) * | 2018-03-22 | 2018-09-18 | 深圳大学 | 运动模糊图像的模糊处理方法、装置、设备及存储介质 |
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Publication number | Priority date | Publication date | Assignee | Title |
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CN102930565A (zh) * | 2012-09-25 | 2013-02-13 | 哈尔滨工业大学 | 一种静止背景中折返运动目标的离散退化图像构造方法 |
CN107610193A (zh) * | 2016-06-23 | 2018-01-19 | 西门子保健有限责任公司 | 使用深度生成式机器学习模型的图像校正 |
CN108416752A (zh) * | 2018-03-12 | 2018-08-17 | 中山大学 | 一种基于生成式对抗网络进行图像去运动模糊的方法 |
CN108550118A (zh) * | 2018-03-22 | 2018-09-18 | 深圳大学 | 运动模糊图像的模糊处理方法、装置、设备及存储介质 |
Non-Patent Citations (2)
Title |
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Variational Autoencoded Compositional Pattern Generative Adversarial Network for Handwritten Super Resolution Image Generation;Caren G.T.等;《2018 3rd International Conference on Computer Science and Engineering (UBMK)》;20181210;第564-568页 * |
基于生成对抗网络的图像识别改进方法;李凯 等;《计算机工程与设计》;20190228;第40卷(第2期);第492-495页 * |
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