JP7758685B2 - 機械学習に基づく画像調整 - Google Patents
機械学習に基づく画像調整Info
- Publication number
- JP7758685B2 JP7758685B2 JP2022566701A JP2022566701A JP7758685B2 JP 7758685 B2 JP7758685 B2 JP 7758685B2 JP 2022566701 A JP2022566701 A JP 2022566701A JP 2022566701 A JP2022566701 A JP 2022566701A JP 7758685 B2 JP7758685 B2 JP 7758685B2
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- image
- map
- image data
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- maps
- 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.)
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Classifications
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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
- G06N3/045—Combinations of networks
- G06N3/0455—Auto-encoder networks; Encoder-decoder 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
- G06N3/084—Backpropagation, e.g. using gradient descent
-
- 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
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- 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
- 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
- G06T5/73—Deblurring; Sharpening
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/90—Dynamic range modification of images or parts thereof
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/84—Camera processing pipelines; Components thereof for processing colour signals
- H04N23/88—Camera processing pipelines; Components thereof for processing colour signals for colour balance, e.g. white-balance circuits or colour temperature control
-
- 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
- H04N9/643—Hue control means, e.g. flesh tone control
-
- 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
- G06T2207/10004—Still image; Photographic image
-
- 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
- G06T2207/10024—Color image
-
- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20172—Image enhancement details
- G06T2207/20182—Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/84—Camera processing pipelines; Components thereof for processing colour signals
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- Biomedical Technology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202063024417P | 2020-05-13 | 2020-05-13 | |
| US63/024,417 | 2020-05-13 | ||
| US17/316,567 US11983846B2 (en) | 2020-05-13 | 2021-05-10 | Machine learning based image adjustment |
| US17/316,567 | 2021-05-10 | ||
| PCT/US2021/032316 WO2021231776A1 (en) | 2020-05-13 | 2021-05-13 | Machine learning based image adjustment |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2023525702A JP2023525702A (ja) | 2023-06-19 |
| JP2023525702A5 JP2023525702A5 (enExample) | 2024-05-10 |
| JP7758685B2 true JP7758685B2 (ja) | 2025-10-22 |
Family
ID=78512175
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022566701A Active JP7758685B2 (ja) | 2020-05-13 | 2021-05-13 | 機械学習に基づく画像調整 |
Country Status (8)
| Country | Link |
|---|---|
| US (1) | US11983846B2 (enExample) |
| EP (1) | EP4150559A1 (enExample) |
| JP (1) | JP7758685B2 (enExample) |
| KR (1) | KR20230011288A (enExample) |
| CN (1) | CN115461780B (enExample) |
| BR (1) | BR112022022218A2 (enExample) |
| PH (1) | PH12022552427A1 (enExample) |
| WO (1) | WO2021231776A1 (enExample) |
Families Citing this family (34)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP7521259B2 (ja) * | 2020-05-27 | 2024-07-24 | ブラザー工業株式会社 | 学習済みの機械学習モデル、画像処理装置、および、機械学習モデルのトレーニング方法 |
| JP7512150B2 (ja) * | 2020-09-24 | 2024-07-08 | キヤノン株式会社 | 情報処理装置、情報処理方法およびプログラム |
| EP4264539A1 (en) * | 2020-12-18 | 2023-10-25 | Koninklijke Philips N.V. | Methods and systems for flexible denoising of images using disentangled feature representation field |
| JP2022129737A (ja) * | 2021-02-25 | 2022-09-06 | ソニーセミコンダクタソリューションズ株式会社 | 距離画像センサデバイス及び距離画像処理システム並びに距離データの伝送方法 |
| JP7269607B2 (ja) * | 2021-03-31 | 2023-05-09 | 学校法人明治大学 | 情報処理装置、情報処理方法、及びプログラム |
| US12034967B2 (en) * | 2021-04-05 | 2024-07-09 | Nvidia Corporation | Superpixel generation and use |
| US12530740B2 (en) * | 2021-05-19 | 2026-01-20 | Nvidia Corporation | Real time enhancement for streaming content |
| US11606544B2 (en) * | 2021-06-08 | 2023-03-14 | Black Sesame Technologies Inc. | Neural network based auto-white-balancing |
| US11778305B2 (en) * | 2021-06-18 | 2023-10-03 | Qualcomm Incorporated | Composite image signal processor |
| US11303800B1 (en) * | 2021-07-13 | 2022-04-12 | Shenzhen GOODIX Technology Co., Ltd. | Real-time disparity upsampling for phase detection autofocus in digital imaging systems |
| TWI789071B (zh) * | 2021-10-25 | 2023-01-01 | 瑞昱半導體股份有限公司 | 基於區域控制以及紋理合成進行圖像增強的圖像處理系統與相關圖像處理方法 |
| CN114169395B (zh) * | 2021-11-05 | 2024-09-06 | 华中科技大学 | 一种电力系统主导失稳模式识别模型构建方法及应用 |
| US12108168B1 (en) | 2021-12-09 | 2024-10-01 | Amazon Technologies, Inc. | Color filter array interpolation for RGB-IR image sensors |
| US12035054B1 (en) * | 2021-12-09 | 2024-07-09 | Amazon Technologies, Inc. | Color filter array interpolation for RGB-IR image sensors |
| US20230186446A1 (en) * | 2021-12-15 | 2023-06-15 | 7 Sensing Software | Image processing methods and systems for low-light image enhancement using machine learning models |
| KR20230099227A (ko) * | 2021-12-27 | 2023-07-04 | 삼성전자주식회사 | 영상 처리 장치 및 방법 |
| CN114359087B (zh) * | 2021-12-29 | 2025-06-03 | 青岛海信移动通信技术有限公司 | 一种图像处理方法、装置、设备及介质 |
| CN114331903B (zh) * | 2021-12-31 | 2023-05-12 | 电子科技大学 | 一种图像修复方法及存储介质 |
| CN114677291B (zh) * | 2022-02-25 | 2023-05-12 | 荣耀终端有限公司 | 一种图像处理方法、装置及相关设备 |
| US12020364B1 (en) * | 2022-04-07 | 2024-06-25 | Bentley Systems, Incorporated | Systems, methods, and media for modifying the coloring of images utilizing machine learning |
| CN115034981B (zh) * | 2022-05-27 | 2024-08-06 | 大连海事大学 | 一种基于嵌入式多特征融合的深度学习水下图像增强方法 |
| US12062144B2 (en) | 2022-05-27 | 2024-08-13 | Snap Inc. | Automated augmented reality experience creation based on sample source and target images |
| CN115314604B (zh) * | 2022-10-12 | 2023-03-24 | 杭州魔点科技有限公司 | 色彩校正矩阵的生成方法、系统、电子装置和存储介质 |
| WO2024129062A1 (en) * | 2022-12-12 | 2024-06-20 | Zeku, Inc. | Method and apparatus for unified multi-stage artificial intelligence-based image signal processing pipeline |
| JP7598173B2 (ja) | 2022-12-14 | 2024-12-11 | 高麗大学校産学協力団 | テクスチャーの保存のための自己残差学習に基づく自己監督型ブラインド雑音装置及び方法 |
| KR102664214B1 (ko) * | 2022-12-14 | 2024-05-10 | 고려대학교 산학협력단 | 질감 보존을 위한 자가-잔차 학습 기반 자가 감독 노이즈 제거 장치 및 방법 |
| WO2024132660A1 (en) * | 2022-12-22 | 2024-06-27 | Koninklijke Philips N.V. | Apparatus for processing a medical image |
| CN116248895B (zh) * | 2023-05-06 | 2023-07-21 | 上海扬谷网络科技有限公司 | 虚拟现实全景漫游的视频云转码方法及系统 |
| WO2024249260A1 (en) * | 2023-05-29 | 2024-12-05 | Google Llc | Systems and methods for direct convolutional training and inference for image processing of color mosaic camera sensors |
| CN116991298B (zh) * | 2023-09-27 | 2023-11-28 | 子亥科技(成都)有限公司 | 一种基于对抗神经网络的虚拟镜头控制方法 |
| WO2025101282A1 (en) * | 2023-11-09 | 2025-05-15 | Qualcomm Incorporated | Closed-loop image enhancement |
| WO2025153191A1 (en) * | 2024-01-19 | 2025-07-24 | Huawei Technologies Co., Ltd. | Method and apparatus for encoding or decoding data representing image data |
| CN118379664B (zh) * | 2024-05-09 | 2025-03-11 | 广东迅科睿晟科技有限公司 | 一种基于人工智能的视频识别方法及系统 |
| US20250378525A1 (en) * | 2024-06-05 | 2025-12-11 | Nvidia Corporation | Updating visual characteristics of frames for content streaming systems and applications |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US20190108618A1 (en) | 2017-10-11 | 2019-04-11 | Qualcomm Incorporated | Image signal processor for processing images |
| US20200143230A1 (en) | 2018-07-27 | 2020-05-07 | Shenzhen Sensetime Technology Co., Ltd. | Image lighting methods and apparatuses, electronic devices, and storage media |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| JP4659631B2 (ja) * | 2005-04-26 | 2011-03-30 | 富士重工業株式会社 | 車線認識装置 |
| US8649555B1 (en) * | 2009-02-18 | 2014-02-11 | Lucasfilm Entertainment Company Ltd. | Visual tracking framework |
| US8638342B2 (en) * | 2009-10-20 | 2014-01-28 | Apple Inc. | System and method for demosaicing image data using weighted gradients |
| US8786625B2 (en) * | 2010-09-30 | 2014-07-22 | Apple Inc. | System and method for processing image data using an image signal processor having back-end processing logic |
| US20130208976A1 (en) * | 2012-02-13 | 2013-08-15 | Nvidia Corporation | System, method, and computer program product for calculating adjustments for images |
| JP2015088096A (ja) * | 2013-11-01 | 2015-05-07 | 株式会社ソニー・コンピュータエンタテインメント | 情報処理装置および情報処理方法 |
| KR20160105264A (ko) * | 2015-02-27 | 2016-09-06 | 삼성전자주식회사 | 영상 보정 장치 및 방법 |
| US10460231B2 (en) * | 2015-12-29 | 2019-10-29 | Samsung Electronics Co., Ltd. | Method and apparatus of neural network based image signal processor |
| US10701366B2 (en) * | 2017-02-21 | 2020-06-30 | Qualcomm Incorporated | Deriving motion vector information at a video decoder |
| CN108229279B (zh) * | 2017-04-14 | 2020-06-02 | 深圳市商汤科技有限公司 | 人脸图像处理方法、装置和电子设备 |
| EP4492789A1 (en) * | 2017-06-26 | 2025-01-15 | Panasonic Intellectual Property Corporation of America | Encoding device, decoding device, encoding method and decoding method |
| US11263782B2 (en) * | 2017-10-11 | 2022-03-01 | Qualcomm Incorporated | Image signal processor for processing images |
| US10579908B2 (en) * | 2017-12-15 | 2020-03-03 | Google Llc | Machine-learning based technique for fast image enhancement |
| CN110062160B (zh) * | 2019-04-09 | 2021-07-02 | Oppo广东移动通信有限公司 | 图像处理方法和装置 |
| CN110490914B (zh) * | 2019-07-29 | 2022-11-15 | 广东工业大学 | 一种基于亮度自适应和显著性检测的图像融合方法 |
| US11776129B2 (en) * | 2020-12-16 | 2023-10-03 | Qualcomm Incorporated | Semantic refinement of image regions |
-
2021
- 2021-05-10 US US17/316,567 patent/US11983846B2/en active Active
- 2021-05-13 EP EP21730730.5A patent/EP4150559A1/en active Pending
- 2021-05-13 BR BR112022022218A patent/BR112022022218A2/pt unknown
- 2021-05-13 WO PCT/US2021/032316 patent/WO2021231776A1/en not_active Ceased
- 2021-05-13 KR KR1020227039018A patent/KR20230011288A/ko active Pending
- 2021-05-13 JP JP2022566701A patent/JP7758685B2/ja active Active
- 2021-05-13 CN CN202180031660.4A patent/CN115461780B/zh active Active
- 2021-05-13 PH PH1/2022/552427A patent/PH12022552427A1/en unknown
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190108618A1 (en) | 2017-10-11 | 2019-04-11 | Qualcomm Incorporated | Image signal processor for processing images |
| US20200143230A1 (en) | 2018-07-27 | 2020-05-07 | Shenzhen Sensetime Technology Co., Ltd. | Image lighting methods and apparatuses, electronic devices, and storage media |
Also Published As
| Publication number | Publication date |
|---|---|
| US11983846B2 (en) | 2024-05-14 |
| BR112022022218A2 (pt) | 2022-12-13 |
| US20210360179A1 (en) | 2021-11-18 |
| CN115461780B (zh) | 2026-02-10 |
| CN115461780A (zh) | 2022-12-09 |
| WO2021231776A1 (en) | 2021-11-18 |
| EP4150559A1 (en) | 2023-03-22 |
| KR20230011288A (ko) | 2023-01-20 |
| PH12022552427A1 (en) | 2024-01-08 |
| JP2023525702A (ja) | 2023-06-19 |
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