JP2021077343A - 画像のノイズ除去のための、適応型変形可能カーネル予測ネットワーク - Google Patents

画像のノイズ除去のための、適応型変形可能カーネル予測ネットワーク Download PDF

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JP2021077343A
JP2021077343A JP2020150178A JP2020150178A JP2021077343A JP 2021077343 A JP2021077343 A JP 2021077343A JP 2020150178 A JP2020150178 A JP 2020150178A JP 2020150178 A JP2020150178 A JP 2020150178A JP 2021077343 A JP2021077343 A JP 2021077343A
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graphics
memory
pixel
processor
processing
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JP2021077343A5 (enExample
Inventor
ヤオ、アンバン
Anbang Yao
ル、ミン
Ming Lu
ワン、イカイ
Yikai Wang
チェン、シャオミン
Xiaoming Chen
ホァン、ジュンジエ
Junjie Huang
エルブイ、タオ
Tao Lv
ルオ、ユアンケ
Yuanke Luo
ヤン、イー
Yi Young
チェン、フェン
Feng Chen
ワン、ジミン
Zhiming Wang
ゼン、ジキアオ
Zhiqiao Zheng
ワン、シャンドン
Shandong Wang
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Intel Corp
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Intel Corp
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    • G06F9/30Arrangements for executing machine instructions, e.g. instruction decode
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    • G06F9/3802Instruction prefetching
    • G06F9/3804Instruction prefetching for branches, e.g. hedging, branch folding
    • GPHYSICS
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    • G06F9/3885Concurrent instruction execution, e.g. pipeline or look ahead using a plurality of independent parallel functional units
    • G06F9/3887Concurrent instruction execution, e.g. pipeline or look ahead using a plurality of independent parallel functional units controlled by a single instruction for multiple data lanes [SIMD]
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    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
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    • G06N3/00Computing arrangements based on biological models
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    • G06N3/044Recurrent networks, e.g. Hopfield networks
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    • G06N3/063Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G06N3/082Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
    • GPHYSICS
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformations in the plane of the image
    • G06T3/40Scaling of whole images or parts thereof, e.g. expanding or contracting
    • G06T3/4046Scaling of whole images or parts thereof, e.g. expanding or contracting using neural networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/60Image enhancement or restoration using machine learning, e.g. neural networks
    • GPHYSICS
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    • G06N3/08Learning methods
    • G06N3/084Backpropagation, e.g. using gradient descent
    • GPHYSICS
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    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
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    • G06T2207/20081Training; Learning
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    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
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  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
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  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Neurology (AREA)
  • Image Processing (AREA)
  • Image Generation (AREA)
  • Facsimile Image Signal Circuits (AREA)
JP2020150178A 2019-11-07 2020-09-07 画像のノイズ除去のための、適応型変形可能カーネル予測ネットワーク Pending JP2021077343A (ja)

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CN201911081492.0A CN112785486A (zh) 2019-11-07 2019-11-07 用于图像去噪声的自适应可变形核预测网络
CN201911081492.0 2019-11-07

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11869171B2 (en) 2019-11-07 2024-01-09 Intel Corporation Adaptive deformable kernel prediction network for image de-noising

Families Citing this family (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021093958A1 (en) * 2019-11-14 2021-05-20 Huawei Technologies Co., Ltd. Spatially adaptive image filtering
US11296995B2 (en) 2020-08-31 2022-04-05 Micron Technology, Inc. Reduced sized encoding of packet length field
US11360920B2 (en) 2020-08-31 2022-06-14 Micron Technology, Inc. Mapping high-speed, point-to-point interface channels to packet virtual channels
US11412075B2 (en) 2020-08-31 2022-08-09 Micron Technology, Inc. Multiple protocol header processing
US11539623B2 (en) 2020-08-31 2022-12-27 Micron Technology, Inc. Single field for encoding multiple elements
US11418455B2 (en) 2020-08-31 2022-08-16 Micron Technology, Inc. Transparent packet splitting and recombining
US11871145B2 (en) * 2021-04-06 2024-01-09 Adobe Inc. Optimization of adaptive convolutions for video frame interpolation
US12283028B2 (en) * 2021-06-02 2025-04-22 Nvidia Corporation Spatio-temporal noise masks for image processing
CN113516235B (zh) * 2021-07-13 2024-10-18 南京大学 一种可变形卷积加速器和可变形卷积加速方法
CN113744156B (zh) * 2021-09-06 2022-08-19 中南大学 一种基于可变形卷积神经网络的图像去噪方法
KR102785795B1 (ko) * 2021-09-13 2025-03-26 삼성전자주식회사 대조도 조절 방법 및 이를 이용하는 장치
CN117561537A (zh) 2021-10-07 2024-02-13 三星电子株式会社 显示设备及其操作方法
CN113963009B (zh) * 2021-12-22 2022-03-18 中科视语(北京)科技有限公司 基于可形变划块的局部自注意力的图像处理方法和系统
US12462337B2 (en) * 2022-02-25 2025-11-04 Arm Limited System, devices and/or processes for processing image pixel values
CN114998964B (zh) * 2022-06-02 2023-04-18 天津道简智创信息科技有限公司 一种新型证照质量检测方法
GB2620920B (en) * 2022-07-21 2024-09-25 Advanced Risc Mach Ltd System, devices and/or processes for application of kernel coefficients
US12008728B2 (en) 2022-08-31 2024-06-11 Qualcomm Incorporated Apparatuses and methods for processing single instruction for image transformation from non-integral locations
CN115661784B (zh) * 2022-10-12 2023-08-22 北京惠朗时代科技有限公司 一种面向智慧交通的交通标志图像大数据识别方法与系统
CN116363480A (zh) * 2023-03-20 2023-06-30 南京大学 一种用于图像像素处理网络的计算装置和方法
CN119313587B (zh) * 2024-12-18 2025-03-28 浙江大华技术股份有限公司 基于块匹配的图像降噪方法、设备及存储介质

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7873812B1 (en) 2004-04-05 2011-01-18 Tibet MIMAR Method and system for efficient matrix multiplication in a SIMD processor architecture
US7747070B2 (en) * 2005-08-31 2010-06-29 Microsoft Corporation Training convolutional neural networks on graphics processing units
US10223333B2 (en) 2014-08-29 2019-03-05 Nvidia Corporation Performing multi-convolution operations in a parallel processing system
US10402700B2 (en) * 2016-01-25 2019-09-03 Deepmind Technologies Limited Generating images using neural networks
US10997496B2 (en) 2016-08-11 2021-05-04 Nvidia Corporation Sparse convolutional neural network accelerator
US10891538B2 (en) 2016-08-11 2021-01-12 Nvidia Corporation Sparse convolutional neural network accelerator
US11531852B2 (en) * 2016-11-28 2022-12-20 D-Wave Systems Inc. Machine learning systems and methods for training with noisy labels
US10475165B2 (en) * 2017-04-06 2019-11-12 Disney Enterprises, Inc. Kernel-predicting convolutional neural networks for denoising
US10572979B2 (en) * 2017-04-06 2020-02-25 Pixar Denoising Monte Carlo renderings using machine learning with importance sampling
US10296578B1 (en) * 2018-02-20 2019-05-21 Paycor, Inc. Intelligent extraction and organization of data from unstructured documents
CN112785486A (zh) 2019-11-07 2021-05-11 英特尔公司 用于图像去噪声的自适应可变形核预测网络
CN113767417B (zh) * 2020-01-23 2025-01-03 百度时代网络技术(北京)有限公司 用于滤色器阵列图像去噪的深度残差网络
EP4016446B1 (en) * 2020-12-21 2025-06-25 Dassault Systèmes Intelligent denoising
CN114693850A (zh) * 2020-12-25 2022-07-01 英特尔公司 用于图像和视频处理的条件核预测网络和自适应深度预测

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11869171B2 (en) 2019-11-07 2024-01-09 Intel Corporation Adaptive deformable kernel prediction network for image de-noising

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KR20210055583A (ko) 2021-05-17
US20210142448A1 (en) 2021-05-13
US11869171B2 (en) 2024-01-09
DE102020129251A1 (de) 2021-05-12
US20240127408A1 (en) 2024-04-18

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