JP2018206371A5 - - Google Patents
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- JP2018206371A5 JP2018206371A5 JP2018094026A JP2018094026A JP2018206371A5 JP 2018206371 A5 JP2018206371 A5 JP 2018206371A5 JP 2018094026 A JP2018094026 A JP 2018094026A JP 2018094026 A JP2018094026 A JP 2018094026A JP 2018206371 A5 JP2018206371 A5 JP 2018206371A5
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- 230000006870 function Effects 0.000 claims 16
- 239000011159 matrix material Substances 0.000 claims 15
- 238000000034 method Methods 0.000 claims 13
- 230000009977 dual effect Effects 0.000 claims 12
- 238000006243 chemical reaction Methods 0.000 claims 8
- 238000012886 linear function Methods 0.000 claims 6
- 238000005259 measurement Methods 0.000 claims 6
- 238000013528 artificial neural network Methods 0.000 claims 4
- 230000003287 optical effect Effects 0.000 claims 3
- 230000000704 physical effect Effects 0.000 claims 3
- 230000001902 propagating effect Effects 0.000 claims 3
- 230000009466 transformation Effects 0.000 claims 3
- 238000012545 processing Methods 0.000 claims 2
- 238000009877 rendering Methods 0.000 claims 2
- 238000004891 communication Methods 0.000 claims 1
- 238000012549 training Methods 0.000 claims 1
Applications Claiming Priority (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201762514175P | 2017-06-02 | 2017-06-02 | |
| US62/514,175 | 2017-06-02 | ||
| US15/649,822 US10657446B2 (en) | 2017-06-02 | 2017-07-14 | Sparsity enforcing neural network |
| US15/649,822 | 2017-07-14 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JP2018206371A JP2018206371A (ja) | 2018-12-27 |
| JP2018206371A5 true JP2018206371A5 (enExample) | 2021-03-25 |
Family
ID=64458293
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2018094026A Pending JP2018206371A (ja) | 2017-06-02 | 2018-05-15 | コンピューター実施画像再構成システムおよび画像再構成方法 |
Country Status (2)
| Country | Link |
|---|---|
| US (1) | US10657446B2 (enExample) |
| JP (1) | JP2018206371A (enExample) |
Families Citing this family (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP6584369B2 (ja) * | 2015-08-20 | 2019-10-02 | 三菱電機株式会社 | 壁の背後に位置するシーンの雑音のない画像を求めるシステムおよび方法 |
| WO2019033381A1 (en) * | 2017-08-18 | 2019-02-21 | Intel Corporation | EFFECTIVE NEURONIC NETWORKS WITH MATRIX STRUCTURES DEVELOPED IN AUTOMATIC LEARNING ENVIRONMENTS |
| DE102019215120A1 (de) * | 2018-12-19 | 2020-06-25 | Robert Bosch Gmbh | Verfahren und Vorrichtung zum Klassifizieren von Sensordaten und zum Ermitteln eines Ansteuersignals zum Ansteuern eines Aktors |
| CN111353944B (zh) | 2018-12-20 | 2024-05-28 | 深圳市中兴微电子技术有限公司 | 一种图像重建方法、装置及计算机可读存储介质 |
| CN109886891B (zh) * | 2019-02-15 | 2022-01-11 | 北京市商汤科技开发有限公司 | 一种图像复原方法及装置、电子设备、存储介质 |
| US10925568B2 (en) * | 2019-07-12 | 2021-02-23 | Canon Medical Systems Corporation | Apparatus and method using physical model based deep learning (DL) to improve image quality in images that are reconstructed using computed tomography (CT) |
| JPWO2021095256A1 (enExample) * | 2019-11-15 | 2021-05-20 | ||
| US12367546B2 (en) * | 2019-12-24 | 2025-07-22 | Nvidia Corporation | Panorama generation using one or more neural networks |
| US11087441B1 (en) * | 2020-01-30 | 2021-08-10 | Mitsubishi Electric Research Laboratories, Inc. | Image reconstruction using artificial intelligence (Ai) modules agnostic to image acquisition settings |
| CN111369460B (zh) * | 2020-03-03 | 2023-06-20 | 大连厚仁科技有限公司 | 基于admm神经网络的图像去模糊方法 |
| US11783510B2 (en) | 2020-08-25 | 2023-10-10 | Nvidia Corporation | View generation using one or more neural networks |
| CN112291169B (zh) * | 2020-11-18 | 2021-11-26 | 中国海洋大学 | 一种信道修正方法及信道修正装置 |
| JP2022127577A (ja) * | 2021-02-19 | 2022-08-31 | キヤノン株式会社 | 画像処理装置および方法、プログラム |
| WO2022176399A1 (ja) * | 2021-02-19 | 2022-08-25 | キヤノン株式会社 | 画像処理装置および方法、プログラム |
| EP4332877A4 (en) * | 2021-04-28 | 2024-10-16 | Panasonic Intellectual Property Management Co., Ltd. | IMAGE PROCESSING DEVICE, IMAGE ACQUISITION SYSTEM AND METHOD FOR ESTIMATING ERRORS IN A RECOVERED IMAGE |
| CN113313650B (zh) * | 2021-06-09 | 2023-10-13 | 北京百度网讯科技有限公司 | 图像画质增强方法、装置、设备和介质 |
| CN113743534B (zh) * | 2021-09-17 | 2022-06-07 | 黄河水利职业技术学院 | 基于深度残差网络下的变压器油中气体复合成像识别方法 |
| CN114255183A (zh) * | 2021-12-17 | 2022-03-29 | 中国科学院上海光学精密机械研究所 | 数据与知识联合驱动的智能计算光学成像方法 |
| CN114820326B (zh) * | 2022-05-25 | 2024-05-31 | 厦门大学 | 基于可调节核稀疏化的高效单帧图像超分方法 |
| CN118378167B (zh) * | 2024-06-24 | 2024-09-13 | 湖南科技大学 | 基于零序电流相关熵增强稀疏学习的传动链故障诊断方法 |
Family Cites Families (22)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4562540A (en) | 1982-11-12 | 1985-12-31 | Schlumberger Technology Corporation | Diffraction tomography system and methods |
| EP0149801B1 (de) * | 1983-12-16 | 1987-07-29 | Robert Bosch Gmbh | Verfahren zur Ermittlung des Sollbremsmoments für die verschiedenen Räder eines Fahrzeugs |
| JPH02101584A (ja) * | 1988-10-11 | 1990-04-13 | Nippon Telegr & Teleph Corp <Ntt> | ステレオ画像処理方式 |
| US5729660A (en) | 1994-05-03 | 1998-03-17 | Chiabrera; Alessandro | 3-D inverse scattering by artificial intelligence : apparatus and method |
| JPH08263649A (ja) * | 1995-02-21 | 1996-10-11 | Xerox Corp | ニューラルベースの空間画像強化システム |
| US6208982B1 (en) | 1996-11-18 | 2001-03-27 | Lockheed Martin Energy Research Corporation | Method and apparatus for solving complex and computationally intensive inverse problems in real-time |
| DE102004030782A1 (de) * | 2004-06-25 | 2006-01-19 | Fev Motorentechnik Gmbh | Fahrzeug-Steuergerät mit einem neuronalen Netz |
| US7809427B2 (en) | 2005-02-11 | 2010-10-05 | Wisconsin Alumni Research Foundation | Time domain inverse scattering techniques for use in microwave imaging |
| US8139142B2 (en) | 2006-06-01 | 2012-03-20 | Microsoft Corporation | Video manipulation of red, green, blue, distance (RGB-Z) data including segmentation, up-sampling, and background substitution techniques |
| EP2153298A1 (en) | 2007-04-24 | 2010-02-17 | Optical Compressed Sensing | Method and system for compressed imaging |
| JP2009237976A (ja) * | 2008-03-27 | 2009-10-15 | Seiko Epson Corp | 顔画像出力制御装置、顔画像出力制御方法、顔画像出力制御プログラムおよび印刷装置 |
| US20100235129A1 (en) | 2009-03-10 | 2010-09-16 | Honeywell International Inc. | Calibration of multi-sensor system |
| US8704887B2 (en) | 2010-12-02 | 2014-04-22 | GM Global Technology Operations LLC | Multi-object appearance-enhanced fusion of camera and range sensor data |
| CN102955159B (zh) | 2011-08-30 | 2014-07-23 | 中国科学院电子学研究所 | 一种基于压缩感知的电磁逆散射成像方法 |
| US9875557B2 (en) | 2012-11-05 | 2018-01-23 | The Chancellor Masters And Scholars Of The University Of Oxford | Extrinsic calibration of imaging sensing devices and 2D LIDARs mounted on transportable apparatus |
| WO2015154205A1 (en) | 2014-04-11 | 2015-10-15 | Xiaoou Tang | Methods and systems for verifying face images based on canonical images |
| US9467628B2 (en) | 2014-08-26 | 2016-10-11 | Sensors Unlimited, Inc. | High dynamic range image sensor |
| US9846214B2 (en) * | 2014-12-29 | 2017-12-19 | Toshiba Medical Systems Corporation | Magnetic resonance image reconstruction for undersampled data acquisitions |
| CN104866900B (zh) | 2015-01-29 | 2018-01-19 | 北京工业大学 | 一种反卷积神经网络训练方法 |
| US9633306B2 (en) | 2015-05-07 | 2017-04-25 | Siemens Healthcare Gmbh | Method and system for approximating deep neural networks for anatomical object detection |
| US10936941B2 (en) * | 2016-08-12 | 2021-03-02 | Xilinx, Inc. | Efficient data access control device for neural network hardware acceleration system |
| US10466714B2 (en) * | 2016-09-01 | 2019-11-05 | Ford Global Technologies, Llc | Depth map estimation with stereo images |
-
2017
- 2017-07-14 US US15/649,822 patent/US10657446B2/en active Active
-
2018
- 2018-05-15 JP JP2018094026A patent/JP2018206371A/ja active Pending
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