LU102214B1 - Method for digital image processing - Google Patents
Method for digital image processing Download PDFInfo
- Publication number
- LU102214B1 LU102214B1 LU102214A LU102214A LU102214B1 LU 102214 B1 LU102214 B1 LU 102214B1 LU 102214 A LU102214 A LU 102214A LU 102214 A LU102214 A LU 102214A LU 102214 B1 LU102214 B1 LU 102214B1
- Authority
- LU
- Luxembourg
- Prior art keywords
- image
- digital image
- noise
- resolution
- blurring
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 82
- 238000012545 processing Methods 0.000 title claims abstract description 49
- 238000010801 machine learning Methods 0.000 claims abstract description 26
- 238000012549 training Methods 0.000 claims abstract description 18
- 238000004590 computer program Methods 0.000 claims abstract description 12
- 238000013528 artificial neural network Methods 0.000 claims abstract description 9
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- 238000003384 imaging method Methods 0.000 claims description 30
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- 238000013527 convolutional neural network Methods 0.000 description 7
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- 238000003199 nucleic acid amplification method Methods 0.000 description 1
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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
- G06T3/4046—Scaling of whole images or parts thereof, e.g. expanding or contracting using neural networks
-
- 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
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)
Priority Applications (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| LU102214A LU102214B1 (en) | 2020-11-16 | 2020-11-16 | Method for digital image processing |
| CN202180071681.9A CN116490892A (zh) | 2020-11-16 | 2021-11-16 | 数字图像处理方法 |
| US18/036,807 US20230419446A1 (en) | 2020-11-16 | 2021-11-16 | Method for digital image processing |
| PCT/EP2021/081900 WO2022101516A1 (en) | 2020-11-16 | 2021-11-16 | Method for digital image processing |
| EP21815176.9A EP4244806A1 (en) | 2020-11-16 | 2021-11-16 | Method for digital image processing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| LU102214A LU102214B1 (en) | 2020-11-16 | 2020-11-16 | Method for digital image processing |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| LU102214B1 true LU102214B1 (en) | 2022-05-17 |
Family
ID=74195037
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| LU102214A LU102214B1 (en) | 2020-11-16 | 2020-11-16 | Method for digital image processing |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN116490892A (zh) |
| LU (1) | LU102214B1 (zh) |
-
2020
- 2020-11-16 LU LU102214A patent/LU102214B1/en active IP Right Grant
-
2021
- 2021-11-16 CN CN202180071681.9A patent/CN116490892A/zh active Pending
Non-Patent Citations (8)
| Title |
|---|
| ALESSANDRO FOIMEJDI TRIMECHEVLADIMIR KATKOVNIKKAREN EGIAZARIAN: "Practical Poissonian-Gaussian noise modeling and fitting for single-image raw-data", IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 17, no. 10, 2008, pages 1737 - 1754 |
| DAHL RYAN ET AL: "Pixel Recursive Super Resolution", IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, IEEE, 22 October 2017 (2017-10-22), pages 5449 - 5458, XP033283424 * |
| HONG CHANGDIT-YAN YEUNGYIMIN XIONG: "Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition", vol. 1, 2004, IEEE. |
| LI ZHEN ET AL: "Feedback Network for Image Super-Resolution", IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, IEEE, 15 June 2019 (2019-06-15), pages 3862 - 3871, XP033686524 * |
| MICHAELI TOMER ET AL: "Nonparametric Blind Super-resolution", IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, IEEE, 1 December 2013 (2013-12-01), pages 945 - 952, XP032573128 * |
| SUPER-RESOLUTION THROUGH NEIGHBOR EMBEDDING, vol. 22, 2002, pages 56 - 65 |
| WILLIAM T FREEMANTHOUIS R JONESEGON C PASZTOR: "Example-based super- resolution", IEEE COMPUTER GRAPHICS |
| XINTAO WANGKE YUSHIXIANG WUJINJIN GUYIHAO LIUCHAO DONGYU QIAOCHEN CHANGE LOY: "European Conference on Computer Vision", 2018, SPRINGER, article "ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks", pages: 63 - 79 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116490892A (zh) | 2023-07-25 |
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| FG | Patent granted |
Effective date: 20220517 |