CN112088393A - Image processing method, device and equipment - Google Patents
Image processing method, device and equipment Download PDFInfo
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- CN112088393A CN112088393A CN201880093293.9A CN201880093293A CN112088393A CN 112088393 A CN112088393 A CN 112088393A CN 201880093293 A CN201880093293 A CN 201880093293A CN 112088393 A CN112088393 A CN 112088393A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
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Abstract
本发明实施例公开了一种图像处理方法、装置及设备,其中,所述方法包括:获取需要进行超分辨率处理的目标图像;将所述目标图像输入到超分网络模型进行处理,得到高分辨率图像;其中,所述超分网络模型的网络参数是根据多帧样本图像及每帧所述样本图像对应的语义特征图进行调整得到的,所述语义特征图是通过图像语义网络模型进行语义识别得到的,提高获取到的高分辨率图像的质量。
Embodiments of the present invention disclose an image processing method, device, and device, wherein the method includes: acquiring a target image that needs to be subjected to super-resolution processing; inputting the target image into a super-resolution network model for processing to obtain a high-resolution image. resolution image; wherein, the network parameters of the super-resolution network model are adjusted according to the multi-frame sample images and the semantic feature map corresponding to each frame of the sample image, and the semantic feature map is obtained through the image semantic network model. Semantic recognition is obtained, improving the quality of the acquired high-resolution images.
Description
PCT国内申请,说明书已公开。PCT domestic application, the description has been published.
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PCT/CN2018/108891 WO2020062191A1 (en) | 2018-09-29 | 2018-09-29 | Image processing method, apparatus and device |
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CN112088393A true CN112088393A (en) | 2020-12-15 |
CN112088393B CN112088393B (en) | 2022-09-23 |
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WO (1) | WO2020062191A1 (en) |
Cited By (1)
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CN116883236A (en) * | 2023-05-22 | 2023-10-13 | 阿里巴巴(中国)有限公司 | Image superdivision method and image data processing method |
Families Citing this family (6)
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CN112016542A (en) * | 2020-05-08 | 2020-12-01 | 珠海欧比特宇航科技股份有限公司 | Urban waterlogging intelligent detection method and system |
CN111709878B (en) * | 2020-06-17 | 2023-06-23 | 北京百度网讯科技有限公司 | Face super-resolution implementation method and device, electronic equipment and storage medium |
CN111932463B (en) * | 2020-08-26 | 2023-05-30 | 腾讯科技(深圳)有限公司 | Image processing method, device, equipment and storage medium |
CN113971763A (en) * | 2020-12-21 | 2022-01-25 | 河南铮睿科达信息技术有限公司 | Small target segmentation method and device based on target detection and super-resolution reconstruction |
CN113592709B (en) * | 2021-02-19 | 2023-07-25 | 腾讯科技(深圳)有限公司 | Image super processing method, device, equipment and storage medium |
CN116612466B (en) * | 2023-07-20 | 2023-09-29 | 腾讯科技(深圳)有限公司 | Content identification method, device, equipment and medium based on artificial intelligence |
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CN108229455A (en) * | 2017-02-23 | 2018-06-29 | 北京市商汤科技开发有限公司 | Object detecting method, the training method of neural network, device and electronic equipment |
CN108537731A (en) * | 2017-12-29 | 2018-09-14 | 西安电子科技大学 | Image super-resolution rebuilding method based on compression multi-scale feature fusion network |
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US20080162561A1 (en) * | 2007-01-03 | 2008-07-03 | International Business Machines Corporation | Method and apparatus for semantic super-resolution of audio-visual data |
CN107169450A (en) * | 2017-05-15 | 2017-09-15 | 中国科学院遥感与数字地球研究所 | The scene classification method and system of a kind of high-resolution remote sensing image |
CN108428212A (en) * | 2018-01-30 | 2018-08-21 | 中山大学 | A kind of image magnification method based on double laplacian pyramid convolutional neural networks |
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2018
- 2018-09-29 WO PCT/CN2018/108891 patent/WO2020062191A1/en active Application Filing
- 2018-09-29 CN CN201880093293.9A patent/CN112088393B/en active Active
Patent Citations (6)
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CN105793891A (en) * | 2013-11-30 | 2016-07-20 | 夏普株式会社 | Method and apparatus for determining high-resolution output images |
WO2018035805A1 (en) * | 2016-08-25 | 2018-03-01 | Intel Corporation | Coupled multi-task fully convolutional networks using multi-scale contextual information and hierarchical hyper-features for semantic image segmentation |
US20190164290A1 (en) * | 2016-08-25 | 2019-05-30 | Intel Corporation | Coupled multi-task fully convolutional networks using multi-scale contextual information and hierarchical hyper-features for semantic image segmentation |
CN106780363A (en) * | 2016-11-21 | 2017-05-31 | 北京金山安全软件有限公司 | Picture processing method and device and electronic equipment |
CN108229455A (en) * | 2017-02-23 | 2018-06-29 | 北京市商汤科技开发有限公司 | Object detecting method, the training method of neural network, device and electronic equipment |
CN108537731A (en) * | 2017-12-29 | 2018-09-14 | 西安电子科技大学 | Image super-resolution rebuilding method based on compression multi-scale feature fusion network |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116883236A (en) * | 2023-05-22 | 2023-10-13 | 阿里巴巴(中国)有限公司 | Image superdivision method and image data processing method |
CN116883236B (en) * | 2023-05-22 | 2024-04-02 | 阿里巴巴(中国)有限公司 | Image superdivision method and image data processing method |
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CN112088393B (en) | 2022-09-23 |
WO2020062191A1 (en) | 2020-04-02 |
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