EP4248657A4 - Verfahren und systeme zur verstärkung von medien mit geringem licht - Google Patents

Verfahren und systeme zur verstärkung von medien mit geringem licht Download PDF

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Publication number
EP4248657A4
EP4248657A4 EP22825246.6A EP22825246A EP4248657A4 EP 4248657 A4 EP4248657 A4 EP 4248657A4 EP 22825246 A EP22825246 A EP 22825246A EP 4248657 A4 EP4248657 A4 EP 4248657A4
Authority
EP
European Patent Office
Prior art keywords
systems
methods
low light
light media
amplifying low
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.)
Pending
Application number
EP22825246.6A
Other languages
English (en)
French (fr)
Other versions
EP4248657A1 (de
Inventor
Green Rosh K S
Nikhil Krishnan
Yash Harbhajanka
Bodhisatwa Mandal
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Samsung Electronics Co Ltd
Original Assignee
Samsung Electronics Co Ltd
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 Samsung Electronics Co Ltd filed Critical Samsung Electronics Co Ltd
Priority claimed from PCT/KR2022/008294 external-priority patent/WO2022265321A1/en
Publication of EP4248657A1 publication Critical patent/EP4248657A1/de
Publication of EP4248657A4 publication Critical patent/EP4248657A4/de
Pending legal-status Critical Current

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    • 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
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • 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
    • G06T5/00—Image enhancement or restoration
    • G06T5/70—Denoising; Smoothing
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/80—Geometric correction
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/13—Edge detection
    • 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
    • G06V10/77—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
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06V10/7747—Organisation of the process, e.g. bagging or boosting
    • 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
    • G06V10/77—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
    • G06V10/776—Validation; Performance evaluation
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H04N23/71—Circuitry for evaluating the brightness variation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H04N23/745—Detection of flicker frequency or suppression of flicker wherein the flicker is caused by illumination, e.g. due to fluorescent tube illumination or pulsed LED illumination
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00—Details of colour television systems
    • H04N9/64—Circuits for processing colour signals
    • H04N9/646—Circuits for processing colour signals for image enhancement, e.g. vertical detail restoration, cross-colour elimination, contour correction, chrominance trapping filters
    • 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • 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]
    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30168—Image quality inspection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/10—Recognition assisted with metadata

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Molecular Biology (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Signal Processing (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Geometry (AREA)
EP22825246.6A 2021-06-15 2022-06-13 Verfahren und systeme zur verstärkung von medien mit geringem licht Pending EP4248657A4 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
IN202141026673 2021-06-15
PCT/KR2022/008294 WO2022265321A1 (en) 2021-06-15 2022-06-13 Methods and systems for low light media enhancement

Publications (2)

Publication Number Publication Date
EP4248657A1 EP4248657A1 (de) 2023-09-27
EP4248657A4 true EP4248657A4 (de) 2024-01-03

Family

ID=84391301

Family Applications (1)

Application Number Title Priority Date Filing Date
EP22825246.6A Pending EP4248657A4 (de) 2021-06-15 2022-06-13 Verfahren und systeme zur verstärkung von medien mit geringem licht

Country Status (3)

Country Link
US (1) US20220398700A1 (de)
EP (1) EP4248657A4 (de)
CN (1) CN117044215A (de)

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US12159379B1 (en) * 2022-07-25 2024-12-03 Gopro, Inc. Systems and methods for simulating motion blur
US12488425B2 (en) * 2023-05-22 2025-12-02 Qualcomm Incorporated Low-light image enhancement using key frame and dependent frame neural networks
CN116797485B (zh) * 2023-06-30 2024-07-16 中国人民解放军军事科学院系统工程研究院 一种基于数据合成的低照度图像增强方法及装置
US20250047806A1 (en) * 2023-08-02 2025-02-06 Google Llc Real-time video enhancement
US20250063136A1 (en) * 2023-08-18 2025-02-20 Samsung Electronics Co., Ltd. Generative ai-based video aspect ratio enhancement
JP7700186B2 (ja) * 2023-08-29 2025-06-30 キヤノン株式会社 情報処理装置、学習装置、及びプログラム
WO2025230038A1 (en) * 2024-05-02 2025-11-06 Samsung Electronics Co., Ltd. Method and electronic device for enhancing image frame

Citations (7)

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US20070286523A1 (en) * 2006-06-09 2007-12-13 Samsung Electronics Co., Ltd. Image processing method and apparatus for contrast enhancement
US20110096179A1 (en) * 2009-10-27 2011-04-28 Border John N Method for improved digital video image quality
US20160217338A1 (en) * 2015-01-26 2016-07-28 Alibaba Group Holding Limited Method and device for face in-vivo detection
JP2019205073A (ja) * 2018-05-24 2019-11-28 三菱電機株式会社 画像処理装置、画像処理方法、画像処理プログラム、及び、記憶媒体
CN111311524A (zh) * 2020-03-27 2020-06-19 电子科技大学 一种基于msr的高动态范围视频生成方法
US20210097646A1 (en) * 2019-09-26 2021-04-01 Lg Electronics Inc. Method and apparatus for enhancing video frame resolution
US20210133943A1 (en) * 2019-10-31 2021-05-06 Lg Electronics Inc. Video data quality improving method and apparatus

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US7123769B2 (en) * 2001-11-09 2006-10-17 Arcsoft, Inc. Shot boundary detection
JP4207923B2 (ja) * 2005-04-19 2009-01-14 ソニー株式会社 フリッカ補正方法、フリッカ補正装置及び撮像装置
US8891021B2 (en) * 2013-03-15 2014-11-18 General Instrument Corporation System and method of detecting strobe using temporal window
US9979897B2 (en) * 2016-06-07 2018-05-22 GM Global Technology Operations LLC System and method for adaptive flickering reduction from video sequence
US10733714B2 (en) * 2017-11-09 2020-08-04 Samsung Electronics Co., Ltd Method and apparatus for video super resolution using convolutional neural network with two-stage motion compensation
US10706508B2 (en) * 2018-03-29 2020-07-07 Disney Enterprises, Inc. Adaptive sampling in Monte Carlo renderings using error-predicting neural networks
US11889199B2 (en) * 2019-06-04 2024-01-30 Sony Group Corporation Imaging device, signal processing device, signal processing method, program, and imaging apparatus
US11521011B2 (en) * 2019-06-06 2022-12-06 Samsung Electronics Co., Ltd. Method and apparatus for training neural network model for enhancing image detail
KR102882039B1 (ko) * 2019-06-24 2025-11-07 삼성전자주식회사 전자 장치 및 전자 장치의 제어 방법
CN110728643A (zh) * 2019-10-18 2020-01-24 上海海事大学 一种基于卷积神经网络的低照度带噪声图像优化方法
US12437028B2 (en) * 2020-10-16 2025-10-07 The Salk Institue For Biological Studies Systems, software and methods for generating training datasets for machine learning applications

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070286523A1 (en) * 2006-06-09 2007-12-13 Samsung Electronics Co., Ltd. Image processing method and apparatus for contrast enhancement
US20110096179A1 (en) * 2009-10-27 2011-04-28 Border John N Method for improved digital video image quality
US20160217338A1 (en) * 2015-01-26 2016-07-28 Alibaba Group Holding Limited Method and device for face in-vivo detection
JP2019205073A (ja) * 2018-05-24 2019-11-28 三菱電機株式会社 画像処理装置、画像処理方法、画像処理プログラム、及び、記憶媒体
US20210097646A1 (en) * 2019-09-26 2021-04-01 Lg Electronics Inc. Method and apparatus for enhancing video frame resolution
US20210133943A1 (en) * 2019-10-31 2021-05-06 Lg Electronics Inc. Video data quality improving method and apparatus
CN111311524A (zh) * 2020-03-27 2020-06-19 电子科技大学 一种基于msr的高动态范围视频生成方法

Non-Patent Citations (1)

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Title
See also references of WO2022265321A1 *

Also Published As

Publication number Publication date
CN117044215A (zh) 2023-11-10
EP4248657A1 (de) 2023-09-27
US20220398700A1 (en) 2022-12-15

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