SG11201912457PA - Image quality evaluating method and image quality evaluating system - Google Patents
Image quality evaluating method and image quality evaluating systemInfo
- Publication number
- SG11201912457PA SG11201912457PA SG11201912457PA SG11201912457PA SG11201912457PA SG 11201912457P A SG11201912457P A SG 11201912457PA SG 11201912457P A SG11201912457P A SG 11201912457PA SG 11201912457P A SG11201912457P A SG 11201912457PA SG 11201912457P A SG11201912457P A SG 11201912457PA
- Authority
- SG
- Singapore
- Prior art keywords
- image quality
- quality evaluating
- evaluating method
- evaluating system
- image
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Biomedical Technology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710804804.0A CN107644415B (zh) | 2017-09-08 | 2017-09-08 | 一种文本图像质量评估方法及设备 |
PCT/CN2018/104842 WO2019047949A1 (zh) | 2017-09-08 | 2018-09-10 | 图像质量评估方法及图像质量评估系统 |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11201912457PA true SG11201912457PA (en) | 2020-01-30 |
Family
ID=61110396
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11201912457PA SG11201912457PA (en) | 2017-09-08 | 2018-09-10 | Image quality evaluating method and image quality evaluating system |
Country Status (4)
Country | Link |
---|---|
JP (1) | JP6866495B2 (zh) |
CN (1) | CN107644415B (zh) |
SG (1) | SG11201912457PA (zh) |
WO (1) | WO2019047949A1 (zh) |
Families Citing this family (22)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107644415B (zh) * | 2017-09-08 | 2019-02-22 | 众安信息技术服务有限公司 | 一种文本图像质量评估方法及设备 |
CN111127386B (zh) * | 2019-07-08 | 2023-04-18 | 杭州电子科技大学 | 一种基于深度学习的图像质量评价方法 |
CN110517237B (zh) * | 2019-08-20 | 2022-12-06 | 西安电子科技大学 | 基于膨胀三维卷积神经网络的无参考视频质量评价方法 |
US11157783B2 (en) * | 2019-12-02 | 2021-10-26 | UiPath, Inc. | Training optical character detection and recognition models for robotic process automation |
CN111128355B (zh) * | 2019-12-20 | 2024-04-26 | 创业慧康科技股份有限公司 | 一种目标事件评估方法及装置 |
CN111127452A (zh) * | 2019-12-27 | 2020-05-08 | 上海箱云物流科技有限公司 | 一种基于云端处理的集装箱智能ocr识别方法 |
CN111291794A (zh) * | 2020-01-21 | 2020-06-16 | 上海眼控科技股份有限公司 | 字符识别方法、装置、计算机设备和计算机可读存储介质 |
CN111753873A (zh) * | 2020-05-12 | 2020-10-09 | 北京捷通华声科技股份有限公司 | 一种图像检测方法和装置 |
CN111583259B (zh) * | 2020-06-04 | 2022-07-22 | 南昌航空大学 | 一种文档图像质量评价方法 |
CN111739617B (zh) * | 2020-06-15 | 2023-07-11 | 中国医学科学院医学信息研究所 | 医疗影像人工智能质控标注方法、装置、设备及存储介质 |
CN111914898B (zh) * | 2020-06-30 | 2022-06-28 | 电子科技大学 | 一种基于自适应阈值的机载sar任务适应性评估方法 |
CN111932500B (zh) * | 2020-07-10 | 2023-10-13 | 泰康保险集团股份有限公司 | 一种图像处理方法及装置 |
CN111986157B (zh) * | 2020-07-21 | 2024-02-09 | 万达信息股份有限公司 | 一种数字病理图像质量评价系统 |
CN112017171B (zh) * | 2020-08-27 | 2021-10-26 | 四川云从天府人工智能科技有限公司 | 一种图像处理指标评估方法、系统、设备和介质 |
CN112151179B (zh) * | 2020-09-29 | 2023-11-14 | 上海联影医疗科技股份有限公司 | 影像数据评估方法、装置、设备及存储介质 |
CN112700425B (zh) * | 2021-01-07 | 2024-04-26 | 云南电网有限责任公司电力科学研究院 | 一种用于电力设备x射线图像质量的判定方法 |
CN112950567A (zh) * | 2021-02-25 | 2021-06-11 | 北京金山云网络技术有限公司 | 质量评价方法、装置、电子设备及存储介质 |
CN113421237B (zh) * | 2021-06-18 | 2023-04-18 | 西安电子科技大学 | 基于深度特征迁移学习的无参考图像质量评价方法 |
CN114549429B (zh) * | 2022-01-29 | 2024-06-25 | 清华大学 | 基于超图结构的深度数据质量评价方法及装置 |
CN114820515A (zh) * | 2022-04-26 | 2022-07-29 | 渭南日报社印刷厂 | 基于通道注意力的无参考型图像质量评价方法 |
CN117953508A (zh) * | 2022-10-21 | 2024-04-30 | 华为技术有限公司 | 文本图像的ocr识别方法、电子设备及介质 |
CN117788461B (zh) * | 2024-02-23 | 2024-05-07 | 华中科技大学同济医学院附属同济医院 | 一种基于图像分析的磁共振图像质量评估系统 |
Family Cites Families (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH08314879A (ja) * | 1995-05-16 | 1996-11-29 | Sanyo Electric Co Ltd | ニュ−ラルネットの学習方法及びニュ−ラルネット型パターン認識装置 |
JPH08329032A (ja) * | 1995-05-31 | 1996-12-13 | Sanyo Electric Co Ltd | ニュ−ラルネット型パターン認識装置及びニュ−ラルネットの学習方法 |
JP3768743B2 (ja) * | 1999-09-20 | 2006-04-19 | 株式会社東芝 | ドキュメント画像処理装置及びドキュメント画像処理方法 |
JP2004171326A (ja) * | 2002-11-21 | 2004-06-17 | Hitachi Ltd | ソフトウェアの使用方法 |
JP4697851B2 (ja) * | 2004-12-20 | 2011-06-08 | キヤノンマーケティングジャパン株式会社 | 画像処理方法、画像処理装置 |
JP6065842B2 (ja) * | 2011-12-16 | 2017-01-25 | 日本電気株式会社 | 辞書学習装置、パターン照合装置、辞書学習方法およびコンピュータプログラム |
US9082047B2 (en) * | 2013-08-20 | 2015-07-14 | Xerox Corporation | Learning beautiful and ugly visual attributes |
CN105488515B (zh) * | 2014-09-17 | 2019-06-25 | 富士通株式会社 | 一种对图像进行分类的图像处理方法和图像处理装置 |
US9741107B2 (en) * | 2015-06-05 | 2017-08-22 | Sony Corporation | Full reference image quality assessment based on convolutional neural network |
CN105046277B (zh) * | 2015-07-15 | 2019-06-14 | 华南农业大学 | 特征显著性在图像质量评价中的鲁棒机理研究方法 |
CN106485192B (zh) * | 2015-09-02 | 2019-12-06 | 富士通株式会社 | 用于图像识别的神经网络的训练方法和装置 |
CN106296690A (zh) * | 2016-08-10 | 2017-01-04 | 北京小米移动软件有限公司 | 图像素材的质量评估方法及装置 |
CN106326886B (zh) * | 2016-11-07 | 2019-05-10 | 重庆工商大学 | 基于卷积神经网络的手指静脉图像质量评估方法 |
CN107644415B (zh) * | 2017-09-08 | 2019-02-22 | 众安信息技术服务有限公司 | 一种文本图像质量评估方法及设备 |
-
2017
- 2017-09-08 CN CN201710804804.0A patent/CN107644415B/zh active Active
-
2018
- 2018-09-10 WO PCT/CN2018/104842 patent/WO2019047949A1/zh active Application Filing
- 2018-09-10 SG SG11201912457PA patent/SG11201912457PA/en unknown
- 2018-09-10 JP JP2019546794A patent/JP6866495B2/ja active Active
Also Published As
Publication number | Publication date |
---|---|
WO2019047949A1 (zh) | 2019-03-14 |
JP6866495B2 (ja) | 2021-04-28 |
JP2020508531A (ja) | 2020-03-19 |
CN107644415A (zh) | 2018-01-30 |
CN107644415B (zh) | 2019-02-22 |
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