CN115735224A - 非抽取的图像处理方法及装置 - Google Patents
非抽取的图像处理方法及装置 Download PDFInfo
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- CN115735224A CN115735224A CN202180001637.0A CN202180001637A CN115735224A CN 115735224 A CN115735224 A CN 115735224A CN 202180001637 A CN202180001637 A CN 202180001637A CN 115735224 A CN115735224 A CN 115735224A
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- 230000015572 biosynthetic process Effects 0.000 claims abstract description 18
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- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
- G06V10/7715—Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods
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Abstract
本公开提供一种非抽取的图像处理方法及装置,该非抽取的图像处理方法包括:获取待处理图像;将待处理图像输入至图像处理网络,得到输出图像以输出,输出图像的分辨率与待处理图像的分辨率相同;其中,图像处理网络包括:分析模块、合成模块和至少一个处理模块;将待处理图像输入至图像处理网络,得到输出图像以输出包括:将待处理图像输入至分析模块进行特征分析后输出特征张量图像;将特征张量图像输入至处理模块进行处理后输出处理后的特征张量图像,处理模块输出的特征张量图像的分辨率与待处理图像的分辨率相同;通过合成模块将至少一个处理模块输出的特征张量图像进行合成后得到输出图像。
Description
PCT国内申请,说明书已公开。
Claims (15)
- PCT国内申请,权利要求书已公开。
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PCT/CN2021/102515 WO2022267046A1 (zh) | 2021-06-25 | 2021-06-25 | 非抽取的图像处理方法及装置 |
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CN115735224A true CN115735224A (zh) | 2023-03-03 |
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US (1) | US20240185570A1 (zh) |
CN (1) | CN115735224A (zh) |
WO (1) | WO2022267046A1 (zh) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116596931A (zh) * | 2023-07-18 | 2023-08-15 | 宁德时代新能源科技股份有限公司 | 图像处理方法、装置、设备、存储介质和程序产品 |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
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CN107610140A (zh) * | 2017-08-07 | 2018-01-19 | 中国科学院自动化研究所 | 基于深度融合修正网络的精细边缘检测方法、装置 |
US10628705B2 (en) * | 2018-03-29 | 2020-04-21 | Qualcomm Incorporated | Combining convolution and deconvolution for object detection |
CN110222716B (zh) * | 2019-05-08 | 2023-07-25 | 天津大学 | 基于全分辨率深度卷积神经网络的图像分类方法 |
CN110245747B (zh) * | 2019-06-21 | 2021-10-19 | 华中师范大学 | 基于全卷积神经网络的图像处理方法及装置 |
CN110717851B (zh) * | 2019-10-18 | 2023-10-27 | 京东方科技集团股份有限公司 | 图像处理方法及装置、神经网络的训练方法、存储介质 |
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2021
- 2021-06-25 US US17/781,182 patent/US20240185570A1/en active Pending
- 2021-06-25 CN CN202180001637.0A patent/CN115735224A/zh active Pending
- 2021-06-25 WO PCT/CN2021/102515 patent/WO2022267046A1/zh active Application Filing
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116596931A (zh) * | 2023-07-18 | 2023-08-15 | 宁德时代新能源科技股份有限公司 | 图像处理方法、装置、设备、存储介质和程序产品 |
CN116596931B (zh) * | 2023-07-18 | 2023-11-17 | 宁德时代新能源科技股份有限公司 | 图像处理方法、装置、设备、存储介质和程序产品 |
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WO2022267046A1 (zh) | 2022-12-29 |
US20240185570A1 (en) | 2024-06-06 |
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