SG11201606584XA - Method for processing input low-resolution (lr) image to output high-resolution (hr) image - Google Patents
Method for processing input low-resolution (lr) image to output high-resolution (hr) imageInfo
- Publication number
- SG11201606584XA SG11201606584XA SG11201606584XA SG11201606584XA SG11201606584XA SG 11201606584X A SG11201606584X A SG 11201606584XA SG 11201606584X A SG11201606584X A SG 11201606584XA SG 11201606584X A SG11201606584X A SG 11201606584XA SG 11201606584X A SG11201606584X A SG 11201606584XA
- Authority
- SG
- Singapore
- Prior art keywords
- resolution
- image
- output high
- processing input
- input low
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/73—Deblurring; Sharpening
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20076—Probabilistic image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Image Processing (AREA)
- Editing Of Facsimile Originals (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US14/220,402 US9734558B2 (en) | 2014-03-20 | 2014-03-20 | Method for generating high-resolution images using regression patterns |
PCT/JP2015/056274 WO2015141463A1 (en) | 2014-03-20 | 2015-02-25 | Method for processing input low-resolution (lr) image to output high-resolution (hr) image |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11201606584XA true SG11201606584XA (en) | 2016-10-28 |
Family
ID=52774440
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11201606584XA SG11201606584XA (en) | 2014-03-20 | 2015-02-25 | Method for processing input low-resolution (lr) image to output high-resolution (hr) image |
Country Status (6)
Country | Link |
---|---|
US (1) | US9734558B2 (en) |
EP (1) | EP3120322B1 (en) |
JP (1) | JP6275260B2 (en) |
MY (1) | MY181495A (en) |
SG (1) | SG11201606584XA (en) |
WO (1) | WO2015141463A1 (en) |
Families Citing this family (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP6391170B2 (en) * | 2015-09-03 | 2018-09-19 | 東芝メモリ株式会社 | Inspection device |
WO2017070841A1 (en) * | 2015-10-27 | 2017-05-04 | 华为技术有限公司 | Image processing method and apparatus |
EP3166068B1 (en) * | 2015-11-06 | 2020-08-12 | Thomson Licensing | Method for upscaling an image and apparatus for upscaling an image |
US9996902B2 (en) * | 2016-01-19 | 2018-06-12 | Google Llc | Image upscaling |
CN105847968B (en) | 2016-03-21 | 2018-12-21 | 京东方科技集团股份有限公司 | Based on the solution of deep learning as method and system |
KR102552747B1 (en) * | 2016-06-28 | 2023-07-11 | 주식회사 엘엑스세미콘 | Inverse tone mapping method |
KR102580519B1 (en) * | 2016-09-07 | 2023-09-21 | 삼성전자주식회사 | Image processing apparatus and recording media |
KR20180097342A (en) * | 2017-02-23 | 2018-08-31 | 한국전자통신연구원 | Method and apparatus for sharpening super resolution image with minimum image artifacts |
JP6848071B2 (en) | 2017-02-24 | 2021-03-24 | ディープマインド テクノロジーズ リミテッド | Repetitive multi-scale image generation using neural networks |
CN107248140A (en) * | 2017-04-27 | 2017-10-13 | 东南大学 | A kind of single image super resolution ratio reconstruction method based on two-way alignment rarefaction representation |
US11004178B2 (en) | 2018-03-01 | 2021-05-11 | Nvidia Corporation | Enhancing high-resolution images with data from low-resolution images |
KR102077215B1 (en) * | 2018-04-06 | 2020-02-13 | 경희대학교 산학협력단 | Super-resolution method using local binary pattern classification and linear mapping |
CN109615576B (en) * | 2018-06-28 | 2023-07-21 | 北京元点未来科技有限公司 | Single-frame image super-resolution reconstruction method based on cascade regression basis learning |
JP7183590B2 (en) * | 2018-06-29 | 2022-12-06 | 株式会社ニデック | Ophthalmic image processing device, OCT device, and ophthalmic image processing program |
US10685428B2 (en) | 2018-11-09 | 2020-06-16 | Hong Kong Applied Science And Technology Research Institute Co., Ltd. | Systems and methods for super-resolution synthesis based on weighted results from a random forest classifier |
RU2697928C1 (en) * | 2018-12-28 | 2019-08-21 | Самсунг Электроникс Ко., Лтд. | Superresolution of an image imitating high detail based on an optical system, performed on a mobile device having limited resources, and a mobile device which implements |
CN109741416A (en) * | 2019-01-04 | 2019-05-10 | 北京大学深圳医院 | Nuclear magnetic resonance image method for reconstructing, device, computer equipment and its storage medium |
EP3973498A1 (en) * | 2019-06-18 | 2022-03-30 | Huawei Technologies Co., Ltd. | Real-time video ultra resolution |
KR102543690B1 (en) * | 2020-10-27 | 2023-06-13 | 연세대학교 산학협력단 | Image Upscaling Apparatus And Method Based On Learning With Privileged Information |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5684544A (en) * | 1995-05-12 | 1997-11-04 | Intel Corporation | Apparatus and method for upsampling chroma pixels |
US5949914A (en) * | 1997-03-17 | 1999-09-07 | Space Imaging Lp | Enhancing the resolution of multi-spectral image data with panchromatic image data using super resolution pan-sharpening |
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 |
CN103455988B (en) * | 2013-09-17 | 2016-03-02 | 西安电子科技大学 | The super-resolution image reconstruction method of structure based self-similarity and rarefaction representation |
-
2014
- 2014-03-20 US US14/220,402 patent/US9734558B2/en active Active
-
2015
- 2015-02-25 SG SG11201606584XA patent/SG11201606584XA/en unknown
- 2015-02-25 JP JP2016539240A patent/JP6275260B2/en active Active
- 2015-02-25 MY MYPI2016703374A patent/MY181495A/en unknown
- 2015-02-25 WO PCT/JP2015/056274 patent/WO2015141463A1/en active Application Filing
- 2015-02-25 EP EP15713030.3A patent/EP3120322B1/en active Active
Also Published As
Publication number | Publication date |
---|---|
US20150269708A1 (en) | 2015-09-24 |
MY181495A (en) | 2020-12-23 |
EP3120322A1 (en) | 2017-01-25 |
US9734558B2 (en) | 2017-08-15 |
JP2017500651A (en) | 2017-01-05 |
EP3120322B1 (en) | 2019-04-24 |
JP6275260B2 (en) | 2018-02-07 |
WO2015141463A1 (en) | 2015-09-24 |
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