CN107016642B - 用于对有噪输入图像进行分辨率上调的方法和装置 - Google Patents

用于对有噪输入图像进行分辨率上调的方法和装置 Download PDF

Info

Publication number
CN107016642B
CN107016642B CN201610982198.7A CN201610982198A CN107016642B CN 107016642 B CN107016642 B CN 107016642B CN 201610982198 A CN201610982198 A CN 201610982198A CN 107016642 B CN107016642 B CN 107016642B
Authority
CN
China
Prior art keywords
resolution
image
noisy
filter
denoising
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.)
Expired - Fee Related
Application number
CN201610982198.7A
Other languages
English (en)
Chinese (zh)
Other versions
CN107016642A (zh
Inventor
曼格什·科苏
乔迪·萨瓦多玛科斯
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.)
InterDigital Madison Patent Holdings SAS
Original Assignee
InterDigital Madison Patent Holdings SAS
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 InterDigital Madison Patent Holdings SAS filed Critical InterDigital Madison Patent Holdings SAS
Publication of CN107016642A publication Critical patent/CN107016642A/zh
Application granted granted Critical
Publication of CN107016642B publication Critical patent/CN107016642B/zh
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformations in the plane of the image
    • G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
    • G06T3/4007—Scaling of whole images or parts thereof, e.g. expanding or contracting based on interpolation, e.g. bilinear interpolation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformations in the plane of the image
    • G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
    • G06T3/4053—Scaling of whole images or parts thereof, e.g. expanding or contracting based on super-resolution, i.e. the output image resolution being higher than the sensor resolution
    • G06T3/4076—Scaling of whole images or parts thereof, e.g. expanding or contracting based on super-resolution, i.e. the output image resolution being higher than the sensor resolution using the original low-resolution images to iteratively correct the high-resolution images
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformations in the plane of the image
    • G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
    • G06T3/4046—Scaling of whole images or parts thereof, e.g. expanding or contracting using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformations in the plane of the image
    • G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
    • G06T3/4053—Scaling of whole images or parts thereof, e.g. expanding or contracting based on super-resolution, i.e. the output image resolution being higher than the sensor resolution
    • 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
    • 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
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
    • 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
    • G06T2207/20021—Dividing image into blocks, subimages or windows
    • 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
    • G06T2207/20024—Filtering details
    • 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
    • G06T2207/20212—Image combination
    • G06T2207/20221—Image fusion; Image merging

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Image Processing (AREA)
  • Facsimile Image Signal Circuits (AREA)
  • Ultra Sonic Daignosis Equipment (AREA)
  • Closed-Circuit Television Systems (AREA)
CN201610982198.7A 2015-11-09 2016-11-08 用于对有噪输入图像进行分辨率上调的方法和装置 Expired - Fee Related CN107016642B (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP15306776.4 2015-11-09
EP15306776.4A EP3166070B1 (en) 2015-11-09 2015-11-09 Method for upscaling noisy images, and apparatus for upscaling noisy images

Publications (2)

Publication Number Publication Date
CN107016642A CN107016642A (zh) 2017-08-04
CN107016642B true CN107016642B (zh) 2022-08-16

Family

ID=54703912

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610982198.7A Expired - Fee Related CN107016642B (zh) 2015-11-09 2016-11-08 用于对有噪输入图像进行分辨率上调的方法和装置

Country Status (5)

Country Link
US (1) US10319075B2 (enExample)
EP (1) EP3166070B1 (enExample)
JP (1) JP7260243B2 (enExample)
KR (1) KR102620105B1 (enExample)
CN (1) CN107016642B (enExample)

Families Citing this family (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016132152A1 (en) 2015-02-19 2016-08-25 Magic Pony Technology Limited Interpolating visual data
EP3278559B1 (en) 2015-03-31 2021-05-05 Magic Pony Technology Limited Training end-to-end video processes
GB201604672D0 (en) * 2016-03-18 2016-05-04 Magic Pony Technology Ltd Generative methods of super resolution
EP3336757A1 (en) * 2016-12-16 2018-06-20 Tata Consultancy Services Limited Method and system for container code recognition
KR102326165B1 (ko) * 2017-08-23 2021-11-16 엘지디스플레이 주식회사 영상 처리 방법 및 이를 이용한 표시 장치
CN107767343B (zh) * 2017-11-09 2021-08-31 京东方科技集团股份有限公司 图像处理方法、处理装置和处理设备
KR101987079B1 (ko) * 2017-12-28 2019-06-10 주식회사 홈초이스 머신러닝 기반의 동적 파라미터에 의한 업스케일된 동영상의 노이즈 제거방법
KR101894278B1 (ko) 2018-01-18 2018-09-04 주식회사 뷰노 일련의 슬라이스 영상을 재구성하는 방법 및 이를 이용한 장치
WO2019178133A1 (en) * 2018-03-12 2019-09-19 Lvis Corporation Systems and methods for generating thin image slices from thick image slices
CN110300301B (zh) * 2018-03-22 2023-01-13 华为技术有限公司 图像编解码方法和装置
KR102570562B1 (ko) * 2018-07-16 2023-08-24 삼성전자주식회사 영상 처리 장치 및 그 동작방법
JP2020017229A (ja) * 2018-07-27 2020-01-30 国立大学法人 東京大学 画像処理装置、画像処理方法及び画像処理プログラム
US10931853B2 (en) * 2018-10-18 2021-02-23 Sony Corporation Enhanced color reproduction for upscaling
KR102604016B1 (ko) * 2018-10-24 2023-11-22 삼성전자주식회사 전자 장치 및 이의 제어방법
KR102098375B1 (ko) 2018-11-15 2020-04-08 충남대학교산학협력단 Ｊｐｅｇ 압축 이미지의 해상도 증가 시스템 및 그 방법
KR102184763B1 (ko) * 2019-02-08 2020-11-30 금오공과대학교 산학협력단 신경망이 적용된 통신 시스템 및 방법
WO2021226601A1 (en) * 2020-05-08 2021-11-11 Lets Enhance Inc Image enhancement
US11222406B2 (en) 2020-06-05 2022-01-11 Canon Medical Systems Corporation Method and system for training a machine learning-based image denoising system
CN112734646B (zh) * 2021-01-19 2024-02-02 青岛大学 一种基于特征通道划分的图像超分辨率重建方法
WO2022197001A1 (en) 2021-03-16 2022-09-22 +Samsung Electronics Co., Ltd. Method and electronic device for removing artifact in high resolution image
KR20240007420A (ko) 2022-07-08 2024-01-16 한화비전 주식회사 머신 러닝을 이용한 영상 노이즈 학습 서버 및 영상 노이즈 저감 장치

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103390266A (zh) * 2013-07-31 2013-11-13 广东威创视讯科技股份有限公司 一种图像超分辨率方法和装置

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070083114A1 (en) * 2005-08-26 2007-04-12 The University Of Connecticut Systems and methods for image resolution enhancement
US8867858B2 (en) * 2010-01-28 2014-10-21 Yissum Research Development Company Of The Hebrew University Of Jerusalem, Ltd. Method and system for generating an output image of increased pixel resolution from an input image
US20120044389A1 (en) * 2010-08-20 2012-02-23 Altek Corporation Method for generating super resolution image
US8655109B2 (en) * 2011-08-05 2014-02-18 Adobe Systems Incorporated Regression-based learning model for image upscaling
EP2615579A1 (en) * 2012-01-12 2013-07-17 Thomson Licensing Method and device for generating a super-resolution version of a low resolution input data structure
JP2015129987A (ja) 2014-01-06 2015-07-16 国立大学法人三重大学 医用高解像画像形成システムおよび方法。
EP2908285A1 (en) 2014-02-13 2015-08-19 Thomson Licensing Method for performing super-resolution on single images and apparatus for performing super-resolution on single images

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103390266A (zh) * 2013-07-31 2013-11-13 广东威创视讯科技股份有限公司 一种图像超分辨率方法和装置

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
Abhishek Singh et al..Super-resolving Noisy Images.《Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition》.2014,第2846-2853页. *
Deep Networks for Image Super-Resolution with Sparse Prior;Zhaowen Wang et al.;《2015 IEEE International Conference on Computer Vision》;20150213;第370-378页 *
Image denoising using multi-stage sparse representations;Tao Gan et al.;《Proceedings of the 2010 IEEE 17th Conference on Image Processing》;20100929;第1165-1168页 *
Super-resolving Noisy Images;Abhishek Singh et al.;《Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition》;20141231;第2846-2853页 *

Also Published As

Publication number Publication date
CN107016642A (zh) 2017-08-04
JP7260243B2 (ja) 2023-04-18
KR102620105B1 (ko) 2024-01-03
EP3166070A1 (en) 2017-05-10
EP3166070B1 (en) 2021-01-06
US10319075B2 (en) 2019-06-11
KR20170058277A (ko) 2017-05-26
US20170132760A1 (en) 2017-05-11
JP2017091529A (ja) 2017-05-25

Similar Documents

Publication Publication Date Title
CN107016642B (zh) 用于对有噪输入图像进行分辨率上调的方法和装置
CN104778669B (zh) 快速图像去噪方法及装置
Thakur et al. Poisson noise reducing bilateral filter
CN106204447A (zh) 基于总变差分和卷积神经网络的超分辨率重建方法
Zhang et al. Decision-based non-local means filter for removing impulse noise from digital images
CN103093433A (zh) 基于区域划分和字典学习的自然图像去噪方法
CN104992415B (zh) 一种基于全变差和小波变换的图像去噪方法及系统
CN105335972A (zh) 基于小波轮廓波变换与视觉显著性的经编织物疵点检测方法
CN105723416A (zh) 图像降噪方法
CN105243647A (zh) 一种基于线性空间滤波的图像增强方法
CN106296591A (zh) 基于马氏距离的非局部均匀数字图像去噪方法
CN103208104A (zh) 一种基于非局部理论的图像去噪方法
CN104182939A (zh) 一种医疗影像图像细节增强方法
CN110322404B (zh) 一种图像增强方法及系统
Jalab et al. Fractional conway polynomials for image denoising with regularized fractional power parameters
CN104463811A (zh) 基于能量泛函的图像平滑与锐化算法
CN107895356A (zh) 一种基于steerable pyramid的近红外图像增强方法
Jindal et al. A novel image zooming technique using wavelet coefficients
CN105741255A (zh) 图像融合方法及装置
Shrivastava et al. Noise removal using first order neighborhood mean filter
KR102135459B1 (ko) 이미지 처리 장치의 디노이징 방법 및 이를 위한 피처 생성 방법
CN104166961A (zh) 用于图像盲复原的低秩逼近的模糊核估计方法
Stolojescu-Crisan et al. Denoising and inpainting SONAR images
Hasan et al. SVD aided eigenvector decomposition to compute PCA and it's application in image denoising
Wu et al. DIFNet: Dual-Domain Information Fusion Network for Image Denoising

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20190521

Address after: Paris France

Applicant after: Interactive digital CE patent holding Co.

Address before: I Si Eli Murli Nor, France

Applicant before: THOMSON LICENSING

TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20201228

Address after: Paris France

Applicant after: Interactive Digital Madison Patent Holdings

Address before: Paris France

Applicant before: Interactive Digital CE Patent Holding Co.

GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20220816