CN112070686A - 一种基于深度学习的逆光图像协同增强方法 - Google Patents
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
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CN112884675A (zh) * | 2021-03-18 | 2021-06-01 | 国家海洋信息中心 | 一种批量遥感影像调色工程化实现方法 |
CN113191956A (zh) * | 2021-01-19 | 2021-07-30 | 西安理工大学 | 基于深度抠图的逆光图像增强方法 |
Citations (3)
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CN106651766A (zh) * | 2016-12-30 | 2017-05-10 | 深圳市唯特视科技有限公司 | 一种基于深度卷积神经网络的图像风格迁移方法 |
CN108492271A (zh) * | 2018-03-26 | 2018-09-04 | 中国电子科技集团公司第三十八研究所 | 一种融合多尺度信息的自动图像增强系统及方法 |
US10304193B1 (en) * | 2018-08-17 | 2019-05-28 | 12 Sigma Technologies | Image segmentation and object detection using fully convolutional neural network |
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CN106651766A (zh) * | 2016-12-30 | 2017-05-10 | 深圳市唯特视科技有限公司 | 一种基于深度卷积神经网络的图像风格迁移方法 |
CN108492271A (zh) * | 2018-03-26 | 2018-09-04 | 中国电子科技集团公司第三十八研究所 | 一种融合多尺度信息的自动图像增强系统及方法 |
US10304193B1 (en) * | 2018-08-17 | 2019-05-28 | 12 Sigma Technologies | Image segmentation and object detection using fully convolutional neural network |
Non-Patent Citations (2)
Title |
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HONGXU YANG,AND ETC: "Efficient Catheter Segmentation in 3D Cardiac Ultrasound using Slice-Based FCN With Deep Supervision and F-Score Loss", 《2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)》 * |
刘超等: "超低照度下微光图像增强神经网络损失函数设计分析", 《国防科技大学学报》 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113191956A (zh) * | 2021-01-19 | 2021-07-30 | 西安理工大学 | 基于深度抠图的逆光图像增强方法 |
CN113191956B (zh) * | 2021-01-19 | 2024-02-09 | 西安理工大学 | 基于深度抠图的逆光图像增强方法 |
CN112884675A (zh) * | 2021-03-18 | 2021-06-01 | 国家海洋信息中心 | 一种批量遥感影像调色工程化实现方法 |
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