CN106355195B - 用于测量图像清晰度值的系统及其方法 - Google Patents
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- CN106355195B CN106355195B CN201610702576.1A CN201610702576A CN106355195B CN 106355195 B CN106355195 B CN 106355195B CN 201610702576 A CN201610702576 A CN 201610702576A CN 106355195 B CN106355195 B CN 106355195B
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- 238000002059 diagnostic imaging Methods 0.000 abstract description 4
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- 238000005259 measurement Methods 0.000 description 12
- 238000013528 artificial neural network Methods 0.000 description 11
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
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- G—PHYSICS
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- 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
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- 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
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- 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]
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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 |
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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 |
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Families Citing this family (8)
Publication number | Priority date | Publication date | Assignee | Title |
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CN106874957A (zh) * | 2017-02-27 | 2017-06-20 | 苏州大学 | 一种滚动轴承故障诊断方法 |
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 |
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 |
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 |
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 |
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 |
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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 |
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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 |
CN101872424B (zh) * | 2010-07-01 | 2013-03-27 | 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 |
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 |
US9325985B2 (en) * | 2013-05-28 | 2016-04-26 | Apple Inc. | Reference and non-reference video quality evaluation |
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 |
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CN104902267B (zh) * | 2015-06-08 | 2017-02-01 | 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 |
CN105740894B (zh) * | 2016-01-28 | 2020-05-29 | 北京航空航天大学 | 一种高光谱遥感图像的语义标注方法 |
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 |
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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 (1)
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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 |
Non-Patent Citations (2)
Title |
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FSIM: A Feature Similarity Index for Image Quality Assessment;Lin Z.等;《IEEE Transactions on Image Processing》;20110831;第20卷(第8期);第2378-2386页 * |
一种无参考监控视频图像清晰度评价方法;邱铭杰 等;《华东理工大学学报(自然科学版)》;20140831;第40卷(第4期);第465-468页 * |
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