CN114698398A - 图像处理方法、图像处理装置、电子设备及可读存储介质 - Google Patents
图像处理方法、图像处理装置、电子设备及可读存储介质 Download PDFInfo
- Publication number
- CN114698398A CN114698398A CN202080002585.4A CN202080002585A CN114698398A CN 114698398 A CN114698398 A CN 114698398A CN 202080002585 A CN202080002585 A CN 202080002585A CN 114698398 A CN114698398 A CN 114698398A
- Authority
- CN
- China
- Prior art keywords
- image
- training
- scale
- images
- generator
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012545 processing Methods 0.000 title claims abstract description 173
- 238000003672 processing method Methods 0.000 title claims abstract description 35
- 238000012549 training Methods 0.000 claims abstract description 760
- 238000012795 verification Methods 0.000 claims description 125
- 230000008439 repair process Effects 0.000 claims description 104
- 238000000034 method Methods 0.000 claims description 78
- 238000005070 sampling Methods 0.000 claims description 56
- 238000001514 detection method Methods 0.000 claims description 27
- 238000004458 analytical method Methods 0.000 claims description 24
- 230000008569 process Effects 0.000 claims description 20
- 230000001815 facial effect Effects 0.000 claims description 18
- 238000001914 filtration Methods 0.000 claims description 17
- 230000036961 partial effect Effects 0.000 claims description 9
- 230000003042 antagnostic effect Effects 0.000 claims description 8
- 230000011218 segmentation Effects 0.000 claims description 4
- 230000036039 immunity Effects 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 11
- 210000001508 eye Anatomy 0.000 description 24
- 238000010586 diagram Methods 0.000 description 18
- 238000013528 artificial neural network Methods 0.000 description 8
- 230000006870 function Effects 0.000 description 6
- 238000004364 calculation method Methods 0.000 description 4
- 210000004709 eyebrow Anatomy 0.000 description 4
- 230000008447 perception Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 210000004209 hair Anatomy 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 239000011521 glass Substances 0.000 description 2
- 238000003707 image sharpening Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000010200 validation analysis Methods 0.000 description 2
- 101100400452 Caenorhabditis elegans map-2 gene Proteins 0.000 description 1
- 101150064138 MAP1 gene Proteins 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013527 convolutional neural network Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 230000002147 killing effect Effects 0.000 description 1
- 230000000670 limiting effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 210000002569 neuron Anatomy 0.000 description 1
- 230000002829 reductive effect Effects 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 210000000697 sensory organ Anatomy 0.000 description 1
Images
Classifications
-
- 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
- G06T3/4046—Scaling of whole images or parts thereof, e.g. expanding or contracting using neural networks
-
- 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
- G06T3/4053—Scaling of whole images or parts thereof, e.g. expanding or contracting based on super-resolution, i.e. the output image resolution being higher than the sensor resolution
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
-
- 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
-
- 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
- G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
-
- 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]
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
Abstract
本公开提供一种图像处理方法、图像处理装置、电子设备及可读存储介质，该图像处理方法包括：接收输入图像；利用第一生成器对所述输入图像进行处理得到输出图像，其中，所述输出图像的清晰度高于所述输入图像的清晰度；其中，所述第一生成器是利用至少两个鉴别器对待训练生成器训练得到。本公开中，由于用于图像修复的第一生成器是采用至少两个鉴别器训练得到，因此能够使得修复的图像细节更加丰富，提高修复效果。
Description
PCT国内申请，说明书已公开。
Claims (38)
- PCT国内申请，权利要求书已公开。
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2020/125463 WO2022088089A1 (zh) | 2020-10-30 | 2020-10-30 | 图像处理方法、图像处理装置、电子设备及可读存储介质 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114698398A true CN114698398A (zh) | 2022-07-01 |
Family
ID=81381798
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202080002585.4A Pending CN114698398A (zh) | 2020-10-30 | 2020-10-30 | 图像处理方法、图像处理装置、电子设备及可读存储介质 |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US20230325973A1 (zh) |
| CN (1) | CN114698398A (zh) |
| WO (1) | WO2022088089A1 (zh) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115660985B (zh) * | 2022-10-25 | 2023-05-19 | 中山大学中山眼科中心 | 白内障眼底图像的修复方法、修复模型的训练方法及装置 |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107122826B (zh) * | 2017-05-08 | 2019-04-23 | 京东方科技集团股份有限公司 | 用于卷积神经网络的处理方法和系统、和存储介质 |
| CN107945118B (zh) * | 2017-10-30 | 2021-09-28 | 南京邮电大学 | 一种基于生成式对抗网络的人脸图像修复方法 |
| US10552714B2 (en) * | 2018-03-16 | 2020-02-04 | Ebay Inc. | Generating a digital image using a generative adversarial network |
| CN109345455B (zh) * | 2018-09-30 | 2021-01-26 | 京东方科技集团股份有限公司 | 图像鉴别方法、鉴别器和计算机可读存储介质 |
| JP7268367B2 (ja) * | 2019-01-30 | 2023-05-08 | 富士通株式会社 | 学習装置、学習方法および学習プログラム |
| CN110033416B (zh) * | 2019-04-08 | 2020-11-10 | 重庆邮电大学 | 一种结合多粒度的车联网图像复原方法 |
| CN110222837A (zh) * | 2019-04-28 | 2019-09-10 | 天津大学 | 一种基于CycleGAN的图片训练的网络结构ArcGAN及方法 |
-
2020
- 2020-10-30 CN CN202080002585.4A patent/CN114698398A/zh active Pending
- 2020-10-30 US US17/425,715 patent/US20230325973A1/en active Pending
- 2020-10-30 WO PCT/CN2020/125463 patent/WO2022088089A1/zh active Application Filing
Also Published As
| Publication number | Publication date |
|---|---|
| US20230325973A1 (en) | 2023-10-12 |
| WO2022088089A1 (zh) | 2022-05-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Li et al. | Single image dehazing via conditional generative adversarial network | |
| CN111445410B (zh) | 基于纹理图像的纹理增强方法、装置、设备和存储介质 | |
| CN112766160A (zh) | 基于多级属性编码器和注意力机制的人脸替换方法 | |
| CN105917353A (zh) | 用于生物认证的特征提取及匹配以及模板更新 | |
| CN106339998A (zh) | 基于对比度金字塔变换的多聚焦图像融合方法 | |
| CN111667400B (zh) | 一种基于无监督学习的人脸轮廓特征风格化生成方法 | |
| CN111275638B (zh) | 基于多通道注意力选择生成对抗网络的人脸修复方法 | |
| Feng et al. | URNet: A U-Net based residual network for image dehazing | |
| CN111243051B (zh) | 基于肖像照片的简笔画生成方法、系统及存储介质 | |
| DE102017220752A1 (de) | Bildverarbeitungsvorrichtung, Bildbverarbeitungsverfahren und Bildverarbeitungsprogramm | |
| CN112836653A (zh) | 人脸隐私化方法、设备、装置及计算机存储介质 | |
| CN114372931A (zh) | 一种目标对象虚化方法、装置、存储介质及电子设备 | |
| CN116012255A (zh) | 一种基于循环一致性生成对抗网络的低光图像增强方法 | |
| CN117496019B (zh) | 一种驱动静态图像的图像动画处理方法及系统 | |
| CN109165551B (zh) | 一种自适应加权融合显著性结构张量和lbp特征的表情识别方法 | |
| CN114698398A (zh) | 图像处理方法、图像处理装置、电子设备及可读存储介质 | |
| CN117710196A (zh) | 数据转换方法及装置、模型的训练方法、设备及介质 | |
| CN112232221A (zh) | 用于人物图像处理的方法、系统和程序载体 | |
| CN116798041A (zh) | 图像识别方法、装置和电子设备 | |
| CN110599403A (zh) | 一种具有良好高频视觉效果的图像超分辨率重建方法 | |
| Marnissi et al. | GAN-based vision Transformer for high-quality thermal image enhancement | |
| Shaikha et al. | Optic Disc Detection and Segmentation in Retinal Fundus Image | |
| CN117079313A (zh) | 图像处理方法、装置、设备及存储介质 | |
| Yao et al. | A multi-expose fusion image dehazing based on scene depth information | |
| Chen et al. | A deep motion deblurring network using channel adaptive residual module |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |