CN115769247A - 图像增强方法及装置 - Google Patents
图像增强方法及装置 Download PDFInfo
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- CN115769247A CN115769247A CN202080101508.4A CN202080101508A CN115769247A CN 115769247 A CN115769247 A CN 115769247A CN 202080101508 A CN202080101508 A CN 202080101508A CN 115769247 A CN115769247 A CN 115769247A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/60—Image enhancement or restoration using machine learning, e.g. neural networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20172—Image enhancement details
- G06T2207/20192—Edge enhancement; Edge preservation
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- Theoretical Computer Science (AREA)
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Abstract
一种图像增强方法及装置,涉及图像处理技术领域,该方法能够同时实现图像亮度和/或对比度的增强以及图像去噪。该方法包括:通过第一神经网络获取待处理图像的低频特征图,并根据该低频特征图,确定第一图像;其中,该第一图像包括重建的待处理图像的基础信息,该基础信息包括待处理图像的轮廓信息;接着,通过第二神经网络获取待处理图像的高频特征图,并根据高频特征图,确定第二图像;其中,该第二图像包括重建的待处理图像的细节信息,该细节信息包括待处理图像的边缘或纹理中的至少一种;然后,将第一图像和第二图像融合,得到待处理图像增强后的图像。
Description
PCT国内申请,说明书已公开。
Claims (16)
- PCT国内申请,权利要求书已公开。
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PCT/CN2020/104969 WO2022021025A1 (zh) | 2020-07-27 | 2020-07-27 | 图像增强方法及装置 |
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WO (1) | WO2022021025A1 (zh) |
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CN115375980B (zh) * | 2022-06-30 | 2023-05-09 | 杭州电子科技大学 | 基于区块链的数字图像的存证系统及其存证方法 |
CN116258651A (zh) * | 2023-02-28 | 2023-06-13 | 华为技术有限公司 | 一种图像处理方法及相关装置 |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103400360A (zh) * | 2013-08-03 | 2013-11-20 | 浙江农林大学 | 基于Wedgelet和NSCT的多源图像融合方法 |
WO2017140182A1 (zh) * | 2016-02-15 | 2017-08-24 | 努比亚技术有限公司 | 一种图像合成方法及装置、存储介质 |
CN108305236A (zh) * | 2018-01-16 | 2018-07-20 | 腾讯科技(深圳)有限公司 | 图像增强处理方法及装置 |
CN111429371A (zh) * | 2020-03-23 | 2020-07-17 | Oppo广东移动通信有限公司 | 图像处理方法、装置及终端设备 |
Family Cites Families (5)
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WO2014173970A1 (en) * | 2013-04-26 | 2014-10-30 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. | Upsampling and signal enhancement |
CN104992416B (zh) * | 2015-06-30 | 2018-04-27 | 小米科技有限责任公司 | 图像增强方法和装置、智能设备 |
US9760794B2 (en) * | 2015-09-25 | 2017-09-12 | Intel Corporation | Method and system of low-complexity histrogram of gradients generation for image processing |
CN107730443B (zh) * | 2017-10-27 | 2021-09-14 | 北京小米移动软件有限公司 | 图像处理方法、装置及用户设备 |
CN109087269B (zh) * | 2018-08-21 | 2020-08-04 | 厦门美图之家科技有限公司 | 弱光图像增强方法及装置 |
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- 2020-07-27 CN CN202080101508.4A patent/CN115769247A/zh active Pending
- 2020-07-27 WO PCT/CN2020/104969 patent/WO2022021025A1/zh active Application Filing
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103400360A (zh) * | 2013-08-03 | 2013-11-20 | 浙江农林大学 | 基于Wedgelet和NSCT的多源图像融合方法 |
WO2017140182A1 (zh) * | 2016-02-15 | 2017-08-24 | 努比亚技术有限公司 | 一种图像合成方法及装置、存储介质 |
CN108305236A (zh) * | 2018-01-16 | 2018-07-20 | 腾讯科技(深圳)有限公司 | 图像增强处理方法及装置 |
CN111429371A (zh) * | 2020-03-23 | 2020-07-17 | Oppo广东移动通信有限公司 | 图像处理方法、装置及终端设备 |
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