CN106355195A - 用于测量图像清晰度值的系统及其方法 - Google Patents
用于测量图像清晰度值的系统及其方法 Download PDFInfo
- Publication number
- CN106355195A CN106355195A CN201610702576.1A CN201610702576A CN106355195A CN 106355195 A CN106355195 A CN 106355195A CN 201610702576 A CN201610702576 A CN 201610702576A CN 106355195 A CN106355195 A CN 106355195A
- Authority
- CN
- China
- Prior art keywords
- image
- feature
- predictor
- extraction device
- characteristics extraction
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 97
- 238000012549 training Methods 0.000 claims abstract description 48
- 239000000284 extract Substances 0.000 claims abstract description 5
- 238000005070 sampling Methods 0.000 claims abstract description 4
- 238000000605 extraction Methods 0.000 claims description 69
- 230000008569 process Effects 0.000 claims description 48
- 238000005259 measurement Methods 0.000 claims description 35
- 238000012360 testing method Methods 0.000 claims description 14
- 238000004364 calculation method Methods 0.000 claims description 9
- 230000004913 activation Effects 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 6
- 238000009499 grossing Methods 0.000 claims description 4
- 230000001419 dependent effect Effects 0.000 claims description 3
- 230000006870 function Effects 0.000 claims description 3
- 210000002569 neuron Anatomy 0.000 claims description 3
- 238000012546 transfer Methods 0.000 claims description 3
- 238000012634 optical imaging Methods 0.000 abstract description 4
- 238000002059 diagnostic imaging Methods 0.000 abstract 1
- 230000009466 transformation Effects 0.000 abstract 1
- 210000005036 nerve Anatomy 0.000 description 8
- 238000013527 convolutional neural network Methods 0.000 description 6
- 230000009897 systematic effect Effects 0.000 description 5
- 238000013528 artificial neural network Methods 0.000 description 4
- 238000013507 mapping Methods 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 3
- 238000013135 deep learning Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 210000000697 sensory organ Anatomy 0.000 description 2
- 238000013517 stratification Methods 0.000 description 2
- 238000013519 translation Methods 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001537 neural effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000000306 recurrent effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Bioinformatics & Cheminformatics (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Image Analysis (AREA)
Abstract
Description
Claims (13)
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610702576.1A CN106355195B (zh) | 2016-08-22 | 2016-08-22 | 用于测量图像清晰度值的系统及其方法 |
PCT/CN2016/096658 WO2018035794A1 (zh) | 2016-08-22 | 2016-08-25 | 用于测量图像清晰度值的系统及其方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610702576.1A CN106355195B (zh) | 2016-08-22 | 2016-08-22 | 用于测量图像清晰度值的系统及其方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106355195A true CN106355195A (zh) | 2017-01-25 |
CN106355195B CN106355195B (zh) | 2021-04-23 |
Family
ID=57844657
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610702576.1A Active CN106355195B (zh) | 2016-08-22 | 2016-08-22 | 用于测量图像清晰度值的系统及其方法 |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN106355195B (zh) |
WO (1) | WO2018035794A1 (zh) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106874957A (zh) * | 2017-02-27 | 2017-06-20 | 苏州大学 | 一种滚动轴承故障诊断方法 |
CN110443881A (zh) * | 2019-05-29 | 2019-11-12 | 重庆交通大学 | 桥面形态变化识别桥梁结构损伤的cnn-grnn方法 |
CN111798414A (zh) * | 2020-06-12 | 2020-10-20 | 北京阅视智能技术有限责任公司 | 显微图像的清晰度确定方法、装置、设备及存储介质 |
CN112330666A (zh) * | 2020-11-26 | 2021-02-05 | 成都数之联科技有限公司 | 基于改进孪生网络的图像处理方法及系统及装置及介质 |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111191629B (zh) * | 2020-01-07 | 2023-12-15 | 中国人民解放军国防科技大学 | 一种基于多目标的图像能见度检测方法 |
CN111242911A (zh) * | 2020-01-08 | 2020-06-05 | 来康科技有限责任公司 | 一种基于深度学习算法确定图像清晰度的方法及系统 |
CN111368875B (zh) * | 2020-02-11 | 2023-08-08 | 浙江昕微电子科技有限公司 | 基于stacking无参考型超分辨图像质量评价方法 |
CN111885297B (zh) * | 2020-06-16 | 2022-09-06 | 北京迈格威科技有限公司 | 图像清晰度的确定方法、图像对焦方法及装置 |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2009023828A1 (en) * | 2007-08-15 | 2009-02-19 | Indiana University Research & Technology Corporation | System and method for measuring clarity of images used in an iris recognition system |
CN101426134A (zh) * | 2007-11-01 | 2009-05-06 | 上海杰得微电子有限公司 | 用于视频编解码的硬件装置及方法 |
CN101872424A (zh) * | 2010-07-01 | 2010-10-27 | 重庆大学 | 基于Gabor变换最优通道模糊融合的人脸表情识别方法 |
CN101996406A (zh) * | 2010-11-03 | 2011-03-30 | 中国科学院光电技术研究所 | 无参考结构清晰度图像质量评价方法 |
CN102393960A (zh) * | 2011-06-29 | 2012-03-28 | 南京大学 | 一种图像的局部特征描述方法 |
CN103310486A (zh) * | 2013-06-04 | 2013-09-18 | 西北工业大学 | 大气湍流退化图像重建方法 |
CN103761521A (zh) * | 2014-01-09 | 2014-04-30 | 浙江大学宁波理工学院 | 一种基于局部二值模式的显微图像清晰度测量方法 |
CN104134204A (zh) * | 2014-07-09 | 2014-11-05 | 中国矿业大学 | 一种基于稀疏表示的图像清晰度评价方法和装置 |
CN104902267A (zh) * | 2015-06-08 | 2015-09-09 | 浙江科技学院 | 一种基于梯度信息的无参考图像质量评价方法 |
US20150286898A1 (en) * | 2014-04-04 | 2015-10-08 | Wei Di | Image evaluation |
CN105740894A (zh) * | 2016-01-28 | 2016-07-06 | 北京航空航天大学 | 一种高光谱遥感图像的语义标注方法 |
US20160240224A1 (en) * | 2013-05-28 | 2016-08-18 | Apple Inc. | Reference and non-reference video quality evaluation |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102881010B (zh) * | 2012-08-28 | 2015-03-11 | 北京理工大学 | 基于人眼视觉特性的融合图像感知清晰度评价方法 |
CN105809704B (zh) * | 2016-03-30 | 2019-03-15 | 北京小米移动软件有限公司 | 识别图像清晰度的方法及装置 |
-
2016
- 2016-08-22 CN CN201610702576.1A patent/CN106355195B/zh active Active
- 2016-08-25 WO PCT/CN2016/096658 patent/WO2018035794A1/zh active Application Filing
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2009023828A1 (en) * | 2007-08-15 | 2009-02-19 | Indiana University Research & Technology Corporation | System and method for measuring clarity of images used in an iris recognition system |
CN101426134A (zh) * | 2007-11-01 | 2009-05-06 | 上海杰得微电子有限公司 | 用于视频编解码的硬件装置及方法 |
CN101872424A (zh) * | 2010-07-01 | 2010-10-27 | 重庆大学 | 基于Gabor变换最优通道模糊融合的人脸表情识别方法 |
CN101996406A (zh) * | 2010-11-03 | 2011-03-30 | 中国科学院光电技术研究所 | 无参考结构清晰度图像质量评价方法 |
CN102393960A (zh) * | 2011-06-29 | 2012-03-28 | 南京大学 | 一种图像的局部特征描述方法 |
US20160240224A1 (en) * | 2013-05-28 | 2016-08-18 | Apple Inc. | Reference and non-reference video quality evaluation |
CN103310486A (zh) * | 2013-06-04 | 2013-09-18 | 西北工业大学 | 大气湍流退化图像重建方法 |
CN103761521A (zh) * | 2014-01-09 | 2014-04-30 | 浙江大学宁波理工学院 | 一种基于局部二值模式的显微图像清晰度测量方法 |
US20150286898A1 (en) * | 2014-04-04 | 2015-10-08 | Wei Di | Image evaluation |
CN104134204A (zh) * | 2014-07-09 | 2014-11-05 | 中国矿业大学 | 一种基于稀疏表示的图像清晰度评价方法和装置 |
CN104902267A (zh) * | 2015-06-08 | 2015-09-09 | 浙江科技学院 | 一种基于梯度信息的无参考图像质量评价方法 |
CN105740894A (zh) * | 2016-01-28 | 2016-07-06 | 北京航空航天大学 | 一种高光谱遥感图像的语义标注方法 |
Non-Patent Citations (4)
Title |
---|
H.B.KEKRE等: "Energy efficient face recognition using row, column feature vectors of Slant Transform and performance comparison with PCA", 《2009 IEEE SYMPOSIUM ON INDUSTRIAL ELECTRONICS & APPLICATIONS》 * |
LIN Z.等: "FSIM: A Feature Similarity Index for Image Quality Assessment", 《IEEE TRANSACTIONS ON IMAGE PROCESSING》 * |
赵学军 编著: "《高光谱图像压缩与融合技术》", 31 July 2015, 北京:北京邮电大学出版社 * |
邱铭杰 等: "一种无参考监控视频图像清晰度评价方法", 《华东理工大学学报(自然科学版)》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106874957A (zh) * | 2017-02-27 | 2017-06-20 | 苏州大学 | 一种滚动轴承故障诊断方法 |
CN110443881A (zh) * | 2019-05-29 | 2019-11-12 | 重庆交通大学 | 桥面形态变化识别桥梁结构损伤的cnn-grnn方法 |
CN110443881B (zh) * | 2019-05-29 | 2023-07-07 | 重庆交通大学 | 桥面形态变化识别桥梁结构损伤的cnn-grnn方法 |
CN111798414A (zh) * | 2020-06-12 | 2020-10-20 | 北京阅视智能技术有限责任公司 | 显微图像的清晰度确定方法、装置、设备及存储介质 |
CN112330666A (zh) * | 2020-11-26 | 2021-02-05 | 成都数之联科技有限公司 | 基于改进孪生网络的图像处理方法及系统及装置及介质 |
CN112330666B (zh) * | 2020-11-26 | 2022-04-29 | 成都数之联科技股份有限公司 | 基于改进孪生网络的图像处理方法及系统及装置及介质 |
Also Published As
Publication number | Publication date |
---|---|
CN106355195B (zh) | 2021-04-23 |
WO2018035794A1 (zh) | 2018-03-01 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106355195A (zh) | 用于测量图像清晰度值的系统及其方法 | |
CN103854283B (zh) | 一种基于在线学习的移动增强现实跟踪注册方法 | |
CN107644415B (zh) | 一种文本图像质量评估方法及设备 | |
CN105069423B (zh) | 一种人体姿态检测方法及装置 | |
CN108875600A (zh) | 一种基于yolo的车辆信息检测和跟踪方法、装置及计算机存储介质 | |
CN109934115A (zh) | 人脸识别模型的构建方法、人脸识别方法及电子设备 | |
CN109635875A (zh) | 一种基于深度学习的端到端网口检测方法 | |
CN109446925A (zh) | 一种基于卷积神经网络的电力设备检测算法 | |
CN103324938A (zh) | 训练姿态分类器及物体分类器、物体检测的方法及装置 | |
CN107463920A (zh) | 一种消除局部遮挡物影响的人脸识别方法 | |
CN110532920A (zh) | 基于FaceNet方法的小数量数据集人脸识别方法 | |
CN110033473A (zh) | 基于模板匹配和深度分类网络的运动目标跟踪方法 | |
CN104992403B (zh) | 一种基于视觉相似度度量的混合操作算子图像重定向方法 | |
CN109886356A (zh) | 一种基于三分支神经网络的目标追踪方法 | |
CN109598220A (zh) | 一种基于多元输入多尺度卷积的人数统计方法 | |
CN108961308A (zh) | 一种漂移检测的残差深度特征目标跟踪方法 | |
CN109376787A (zh) | 流形学习网络及基于其的计算机视觉图像集分类方法 | |
CN105893947A (zh) | 基于多局部相关特征学习的两视角人脸识别方法 | |
CN108490115A (zh) | 一种基于分布式在线主成分分析的空气质量异常检测方法 | |
CN108898269A (zh) | 基于度量的电力图像环境影响评估方法 | |
CN109919246A (zh) | 基于自适应特征聚类和多重损失融合的行人重识别方法 | |
CN108627798A (zh) | 基于线性判别分析和梯度提升树的wlan室内定位算法 | |
CN106529548A (zh) | 亚像素级的多尺度Harris角点检测算法 | |
CN103996200B (zh) | 一种基于图像子块参数的快速图像配准方法 | |
CN106407975B (zh) | 基于空间-光谱结构约束的多尺度分层目标检测方法 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20170125 Assignee: Guangdong Henghui Survey and Mapping Engineering Co.,Ltd. Assignor: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES Contract record no.: X2023980037198 Denomination of invention: System and method for measuring image clarity value Granted publication date: 20210423 License type: Common License Record date: 20230628 Application publication date: 20170125 Assignee: Guangdong Wuji Construction Engineering Co.,Ltd. Assignor: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES Contract record no.: X2023980037195 Denomination of invention: System and method for measuring image clarity value Granted publication date: 20210423 License type: Common License Record date: 20230628 |
|
EE01 | Entry into force of recordation of patent licensing contract | ||
EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20170125 Assignee: Dongguan Hezhi Intelligent Technology Co.,Ltd. Assignor: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES Contract record no.: X2023980040928 Denomination of invention: System and method for measuring image clarity value Granted publication date: 20210423 License type: Common License Record date: 20230831 |
|
EE01 | Entry into force of recordation of patent licensing contract | ||
EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20170125 Assignee: Dongguan Shangyi Trading Co.,Ltd. Assignor: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES Contract record no.: X2023980041613 Denomination of invention: System and method for measuring image clarity value Granted publication date: 20210423 License type: Common License Record date: 20230912 |
|
EE01 | Entry into force of recordation of patent licensing contract | ||
EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20170125 Assignee: SHENZHEN HUAYUNXINCHUANG TECHNOLOGY CO.,LTD. Assignor: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES Contract record no.: X2023980043793 Denomination of invention: System and method for measuring image clarity value Granted publication date: 20210423 License type: Common License Record date: 20231018 |
|
EE01 | Entry into force of recordation of patent licensing contract | ||
EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20170125 Assignee: SHENZHEN BUTT JOINT PLATFORM TECHNOLOGY DEVELOPMENT CO.,LTD. Assignor: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES Contract record no.: X2023980044059 Denomination of invention: System and method for measuring image clarity value Granted publication date: 20210423 License type: Common License Record date: 20231023 |
|
EE01 | Entry into force of recordation of patent licensing contract |