KR20210050684A - 이미지 처리 시스템 - Google Patents

이미지 처리 시스템 Download PDF

Info

Publication number
KR20210050684A
KR20210050684A KR1020190135041A KR20190135041A KR20210050684A KR 20210050684 A KR20210050684 A KR 20210050684A KR 1020190135041 A KR1020190135041 A KR 1020190135041A KR 20190135041 A KR20190135041 A KR 20190135041A KR 20210050684 A KR20210050684 A KR 20210050684A
Authority
KR
South Korea
Prior art keywords
image
neural network
post
processing system
processed
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.)
Ceased
Application number
KR1020190135041A
Other languages
English (en)
Korean (ko)
Inventor
김태현
김진수
배종현
홍성주
Original Assignee
에스케이하이닉스 주식회사
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by 에스케이하이닉스 주식회사 filed Critical 에스케이하이닉스 주식회사
Priority to KR1020190135041A priority Critical patent/KR20210050684A/ko
Priority to US17/065,241 priority patent/US11599981B2/en
Priority to JP2020170849A priority patent/JP2021072106A/ja
Priority to DE102020213289.5A priority patent/DE102020213289A1/de
Priority to CN202011145264.8A priority patent/CN112750067B/zh
Publication of KR20210050684A publication Critical patent/KR20210050684A/ko
Ceased legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00—General purpose image data processing
    • G06T1/20—Processor architectures; Processor configuration, e.g. pipelining
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/20—Ensemble learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/047—Probabilistic or stochastic networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/0475—Generative networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
    • G06N3/088—Non-supervised learning, e.g. competitive learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/094—Adversarial learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Multimedia (AREA)
  • Databases & Information Systems (AREA)
  • Probability & Statistics with Applications (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
KR1020190135041A 2019-10-29 2019-10-29 이미지 처리 시스템 Ceased KR20210050684A (ko)

Priority Applications (5)

Application Number Priority Date Filing Date Title
KR1020190135041A KR20210050684A (ko) 2019-10-29 2019-10-29 이미지 처리 시스템
US17/065,241 US11599981B2 (en) 2019-10-29 2020-10-07 Image processing system
JP2020170849A JP2021072106A (ja) 2019-10-29 2020-10-09 イメージ処理システム
DE102020213289.5A DE102020213289A1 (de) 2019-10-29 2020-10-21 Bildverarbeitungssystem
CN202011145264.8A CN112750067B (zh) 2019-10-29 2020-10-23 图像处理系统及其训练方法

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020190135041A KR20210050684A (ko) 2019-10-29 2019-10-29 이미지 처리 시스템

Publications (1)

Publication Number Publication Date
KR20210050684A true KR20210050684A (ko) 2021-05-10

Family

ID=75378970

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020190135041A Ceased KR20210050684A (ko) 2019-10-29 2019-10-29 이미지 처리 시스템

Country Status (5)

Country Link
US (1) US11599981B2 (https=)
JP (1) JP2021072106A (https=)
KR (1) KR20210050684A (https=)
CN (1) CN112750067B (https=)
DE (1) DE102020213289A1 (https=)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12235651B1 (en) * 2021-03-29 2025-02-25 Amazon Technologies, Inc. Autonomous navigation correction system
KR102728337B1 (ko) * 2021-05-31 2024-11-11 한국전자기술연구원 Gan 구조를 활용한 영상 영역 분할 방법 및 시스템

Family Cites Families (30)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10169662B2 (en) 2015-06-15 2019-01-01 Google Llc Remote biometric monitoring system
US10460231B2 (en) 2015-12-29 2019-10-29 Samsung Electronics Co., Ltd. Method and apparatus of neural network based image signal processor
JP6463512B2 (ja) 2016-05-24 2019-02-06 オリンパス株式会社 画像信号処理装置、画像信号処理方法および画像信号処理プログラム
US10602126B2 (en) * 2016-06-10 2020-03-24 Lucid VR, Inc. Digital camera device for 3D imaging
KR101961177B1 (ko) 2016-07-22 2019-03-22 한국과학기술원 뉴럴 네트워크를 이용한 영상 처리 방법 및 장치
WO2018053340A1 (en) 2016-09-15 2018-03-22 Twitter, Inc. Super resolution using a generative adversarial network
KR101791573B1 (ko) 2016-10-21 2017-10-31 서강대학교산학협력단 컨볼루션 신경망을 이용한 비디오 스트림에 대한 수퍼 해상도 장치 및 방법
US10803378B2 (en) 2017-03-15 2020-10-13 Samsung Electronics Co., Ltd System and method for designing efficient super resolution deep convolutional neural networks by cascade network training, cascade network trimming, and dilated convolutions
US10262236B2 (en) * 2017-05-02 2019-04-16 General Electric Company Neural network training image generation system
US10497257B2 (en) * 2017-08-31 2019-12-03 Nec Corporation Parking lot surveillance with viewpoint invariant object recognition by synthesization and domain adaptation
US10430937B2 (en) * 2017-09-25 2019-10-01 United Technologies Corporation Automated material characterization system including conditional generative adversarial networks
US11188783B2 (en) * 2017-10-19 2021-11-30 Nokia Technologies Oy Reverse neural network for object re-identification
US10467501B2 (en) * 2017-10-30 2019-11-05 Sap Se Computer vision architecture with machine learned image recognition models
US10936863B2 (en) * 2017-11-13 2021-03-02 Way2Vat Ltd. Systems and methods for neuronal visual-linguistic data retrieval from an imaged document
CN107909621A (zh) * 2017-11-16 2018-04-13 深圳市唯特视科技有限公司 一种基于双生成对抗网络的医学图像合成方法
CN108257116A (zh) * 2017-12-30 2018-07-06 清华大学 一种生成对抗图像的方法
US10944767B2 (en) * 2018-02-01 2021-03-09 International Business Machines Corporation Identifying artificial artifacts in input data to detect adversarial attacks
US10748314B2 (en) * 2018-02-15 2020-08-18 Microsoft Technology Licensing, Llc Controllable conditional image generation
US10552714B2 (en) * 2018-03-16 2020-02-04 Ebay Inc. Generating a digital image using a generative adversarial network
US20190297326A1 (en) * 2018-03-21 2019-09-26 Nvidia Corporation Video prediction using spatially displaced convolution
US10825219B2 (en) * 2018-03-22 2020-11-03 Northeastern University Segmentation guided image generation with adversarial networks
US11100632B2 (en) * 2018-04-13 2021-08-24 Elekta, Inc. Image synthesis using adversarial networks such as for radiation therapy
CN108764091B (zh) * 2018-05-18 2020-11-17 北京市商汤科技开发有限公司 活体检测方法及装置、电子设备和存储介质
CN108932527A (zh) * 2018-06-06 2018-12-04 上海交通大学 使用交叉训练模型检测对抗样本的方法
CN109036389A (zh) * 2018-08-28 2018-12-18 出门问问信息科技有限公司 一种对抗样本的生成方法及装置
CN109685200B (zh) * 2018-11-19 2023-04-25 华东师范大学 基于生成对抗网络的雾计算工业协议构建方法及构建系统
JP2022526718A (ja) * 2019-03-14 2022-05-26 ハイパーファイン，インコーポレイテッド 空間周波数データから磁気共鳴画像を生成するための深層学習技術
CN110222774A (zh) * 2019-06-10 2019-09-10 百度在线网络技术（北京）有限公司 非法图像鉴别方法、装置、内容安全防火墙及存储介质
CN110322396B (zh) * 2019-06-19 2022-12-23 怀光智能科技（武汉）有限公司 一种病理切片颜色归一化方法及系统
US11126891B2 (en) * 2019-09-11 2021-09-21 Toyota Research Institute, Inc. Systems and methods for simulating sensor data using a generative model

Also Published As

Publication number Publication date
US20210125320A1 (en) 2021-04-29
CN112750067B (zh) 2024-05-07
DE102020213289A1 (de) 2021-04-29
CN112750067A (zh) 2021-05-04
US11599981B2 (en) 2023-03-07
JP2021072106A (ja) 2021-05-06

Similar Documents

Publication Publication Date Title
CN107423701B (zh) 基于生成式对抗网络的人脸非监督特征学习方法及装置
US8306327B2 (en) Adaptive partial character recognition
KR102313215B1 (ko) 특징 생성 기술을 이용한 머신러닝 기반 결함 분류 장치 및 방법
US20180349716A1 (en) Apparatus and method for recognizing traffic signs
CN113095199A (zh) 一种高速行人识别方法及装置
KR101268520B1 (ko) 영상 인식 장치 및 방법
Tavares Comparison of image preprocessing techniques for vehicle license plate recognition using ocr: Performance and accuracy evaluation
KR102576747B1 (ko) 심층신경망을 기반으로 하는 객체 검출기의 지역 최적화를 위한 시스템 및 이를 위한 로컬 데이터베이스 생성 방법
KR20210050684A (ko) 이미지 처리 시스템
Sekhar et al. Automated face recognition using deep learning technique and center symmetric multivariant local binary pattern
Istiqomah et al. Facial expression recognition using convolutional neural networks with transfer learning ResNet-50
CN113505784A (zh) 甲片自动标注解析方法及装置、电子设备及存储介质
CN114937189B (zh) 模型的训练方法和装置、目标识别方法、设备、介质
CN116582337A (zh) 一种异常流量检测方法及系统
Brahmankar et al. Indian sign language recognition using canny edge detection
KR101515308B1 (ko) 얼굴 자세 추정 장치 및 그 방법
CN107315985A (zh) 一种虹膜识别方法及终端
Navada et al. Design of Mobile Application for Assisting Color Blind People to Identify Information on Sign Boards.
Reshna et al. Recognition of static hand gestures of Indian sign language using CNN
CN117197877B (zh) 一种基于区域加权光流特征的微表情识别方法及系统
KR100621883B1 (ko) 학습에 기반을 둔 적응형 실시간 얼굴검출방법
CN117274902A (zh) 移动机器人的目标识别与定位方法
KR100472953B1 (ko) Ｓｖｍ을 이용한 얼굴 영역 검출 방법
CN111860070A (zh) 识别发生改变的对象的方法和装置
eddine Agab et al. Dynamic hand gesture recognition based on textural features

Legal Events

Date Code Title Description
PA0109 Patent application

Patent event code: PA01091R01D

Comment text: Patent Application

Patent event date: 20191029

PG1501 Laying open of application
A201 Request for examination
PA0201 Request for examination

Patent event code: PA02012R01D

Patent event date: 20221012

Comment text: Request for Examination of Application

Patent event code: PA02011R01I

Patent event date: 20191029

Comment text: Patent Application

E902 Notification of reason for refusal
PE0902 Notice of grounds for rejection

Comment text: Notification of reason for refusal

Patent event date: 20241127

Patent event code: PE09021S01D

E601 Decision to refuse application
PE0601 Decision on rejection of patent

Patent event date: 20250507

Comment text: Decision to Refuse Application

Patent event code: PE06012S01D