CN115004227A - 图像处理方法、装置及设备 - Google Patents
图像处理方法、装置及设备 Download PDFInfo
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- CN115004227A CN115004227A CN202080094354.0A CN202080094354A CN115004227A CN 115004227 A CN115004227 A CN 115004227A CN 202080094354 A CN202080094354 A CN 202080094354A CN 115004227 A CN115004227 A CN 115004227A
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- 238000003672 processing method Methods 0.000 title claims abstract description 31
- 238000000034 method Methods 0.000 claims abstract description 77
- 230000003287 optical effect Effects 0.000 claims abstract description 59
- 230000008569 process Effects 0.000 claims abstract description 34
- 238000012545 processing Methods 0.000 claims abstract description 29
- 238000007499 fusion processing Methods 0.000 claims abstract description 28
- 238000013507 mapping Methods 0.000 claims description 9
- 238000005070 sampling Methods 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 6
- 230000009467 reduction Effects 0.000 description 34
- 230000000694 effects Effects 0.000 description 18
- 230000004927 fusion Effects 0.000 description 17
- 238000010586 diagram Methods 0.000 description 11
- 238000001514 detection method Methods 0.000 description 8
- 239000013598 vector Substances 0.000 description 6
- 238000004891 communication Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
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- 238000004364 calculation method Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000005286 illumination Methods 0.000 description 2
- 230000011218 segmentation Effects 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
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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
- G06T5/70—Denoising; Smoothing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/207—Analysis of motion for motion estimation over a hierarchy of resolutions
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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
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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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
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
- G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
- G06V10/806—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of extracted features
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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
- G06T2207/20182—Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
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- G06T2207/20192—Edge enhancement; Edge preservation
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- Computer Vision & Pattern Recognition (AREA)
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- General Health & Medical Sciences (AREA)
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- Software Systems (AREA)
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- Health & Medical Sciences (AREA)
- Image Analysis (AREA)
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Abstract
本申请实施例公开了图像处理方法、装置及设备,其中,方法包括:获得当前图像帧中的第一区域的特征信息;其中,第一区域包括对当前图像帧和前一图像帧进行基于光流法的运动估计,确定的当前图像帧中的区域;获得当前图像帧中的第二区域的特征信息;其中,第二区域包括当前图像帧的多个第一像素点中像素点与前一图像帧的多个第二像素点中的像素点之间的关联关系符合条件的像素点对应的区域;基于第一区域的特征信息和第二区域的特征信息,对前一图像帧和当前图像帧进行融合处理,得到处理后的当前图像帧;其中,处理后的当前图像帧用于作为下一图像帧的前一图像帧,对下一图像帧进行处理。
Description
PCT国内申请,说明书已公开。
Claims (10)
- 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/CN2020/077036 WO2021168755A1 (zh) | 2020-02-27 | 2020-02-27 | 图像处理方法、装置及设备 |
Publications (1)
Publication Number | Publication Date |
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CN115004227A true CN115004227A (zh) | 2022-09-02 |
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Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
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CN202080094354.0A Pending CN115004227A (zh) | 2020-02-27 | 2020-02-27 | 图像处理方法、装置及设备 |
Country Status (4)
Country | Link |
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US (1) | US20220414896A1 (zh) |
EP (1) | EP4105886A4 (zh) |
CN (1) | CN115004227A (zh) |
WO (1) | WO2021168755A1 (zh) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20230059035A1 (en) * | 2021-08-23 | 2023-02-23 | Netflix, Inc. | Efficient encoding of film grain noise |
CN115082711B (zh) * | 2022-08-22 | 2022-11-11 | 广东新禾道信息科技有限公司 | 土壤普查数据处理方法、系统及云平台 |
CN116193279A (zh) * | 2022-12-29 | 2023-05-30 | 影石创新科技股份有限公司 | 视频处理方法、装置、计算机设备和存储介质 |
Family Cites Families (12)
Publication number | Priority date | Publication date | Assignee | Title |
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KR100780516B1 (ko) * | 2000-08-07 | 2007-11-29 | 소니 가부시끼 가이샤 | 화상 처리 장치 및 방법, 및 기록 매체 |
JP2007049301A (ja) * | 2005-08-08 | 2007-02-22 | Casio Comput Co Ltd | 画像処理装置及び画像処理方法 |
US9233659B2 (en) * | 2011-04-27 | 2016-01-12 | Mobileye Vision Technologies Ltd. | Pedestrian collision warning system |
CN103065326B (zh) * | 2012-12-26 | 2015-06-24 | 西安理工大学 | 基于时-空多尺度运动注意力分析的目标检测方法 |
CN103632352B (zh) * | 2013-11-01 | 2017-04-26 | 华为技术有限公司 | 一种噪声图像的时域降噪方法和相关装置 |
CN104052990B (zh) * | 2014-06-30 | 2016-08-24 | 山东大学 | 一种基于融合深度线索的全自动二维转三维方法和装置 |
JP6543214B2 (ja) * | 2016-04-28 | 2019-07-10 | 砂防エンジニアリング株式会社 | 動き監視装置 |
CN106845552B (zh) * | 2017-01-31 | 2019-11-08 | 东南大学 | 在光强分布不均匀环境下的融合光流和sift特征点匹配的低动态载体速度计算方法 |
CN107507225B (zh) * | 2017-09-05 | 2020-10-27 | 明见(厦门)技术有限公司 | 运动目标检测方法、装置、介质及计算设备 |
CN108230245B (zh) * | 2017-12-26 | 2021-06-11 | 中国科学院深圳先进技术研究院 | 图像拼接方法、图像拼接装置及电子设备 |
CN108391060B (zh) * | 2018-03-26 | 2021-02-09 | 华为技术有限公司 | 一种图像处理方法、图像处理装置和终端 |
CN110619652B (zh) * | 2019-08-19 | 2022-03-18 | 浙江大学 | 一种基于光流映射重复区域检测的图像配准鬼影消除方法 |
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2020
- 2020-02-27 EP EP20921228.1A patent/EP4105886A4/en active Pending
- 2020-02-27 CN CN202080094354.0A patent/CN115004227A/zh active Pending
- 2020-02-27 WO PCT/CN2020/077036 patent/WO2021168755A1/zh unknown
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2022
- 2022-08-26 US US17/896,903 patent/US20220414896A1/en active Pending
Also Published As
Publication number | Publication date |
---|---|
EP4105886A1 (en) | 2022-12-21 |
US20220414896A1 (en) | 2022-12-29 |
EP4105886A4 (en) | 2023-04-19 |
WO2021168755A1 (zh) | 2021-09-02 |
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