Advanced Image Processing Techniques
Advanced Image Processing Techniques is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 30k research works in it since 1955. 16.3% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the development and application of single image super-resolution techniques, utilizing deep learning methods such as convolutional networks, generative adversarial networks, and sparse representation. The cluster also covers related topics such as deblurring, video enhancement, and applications in medical imaging.
- Super-Resolution
- Image
- Deep Learning
- Convolutional Networks
- Generative Adversarial Networks
- Sparse Representation
- Deblurring
- Neural Networks
- Video Enhancement
- Medical Imaging
- Research works
- 30k fractional, since 1955
- In the world top 10%
- 4.9k per year above
- Top-10% rate
- 16.3% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +68% the tick is no change
Which countries lead Advanced Image Processing Techniques research?
By volume, China and India publish the most (4.7k and 772 works in 2022–2025).
By volume, 2022–2025
- 1 China 4.7k works
- 2 India 772 works
- 3 United States 556 works
- 4 South Korea 365 works
- 5 Japan 200 works
- 6 United Kingdom 172 works
- 7 Taiwan 134 works
- 8 France 131 works
- 9 Hong Kong 123 works
- 10 Germany 118 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Advanced Image Processing Techniques research?
By volume in 2022–2025, Shanghai Jiao Tong University publishes the most Advanced Image Processing Techniques research, followed by University of Science and Technology of China and Harbin Institute of Technology.
By volume, 2022–2025
- 1 Shanghai Jiao Tong University China 89 works
- 2 University of Science and Technology of China China 78 works
- 3 Harbin Institute of Technology China 75 works
- 4 University of Electronic Science and Technology of China China 70 works
- 5 Xidian University China 69 works
- 6 Wuhan University China 67 works
- 7 Tsinghua University China 66 works
- 8 Chinese Academy of Sciences China 65 works
- 9 Peking University China 63 works
- 10 Northwestern Polytechnical University China 60 works
Who are the leading researchers in Advanced Image Processing Techniques?
The most-cited researchers publishing on Advanced Image Processing Techniques include Andrew Zisserman, Li Fei-Fei and Serge Belongie.
- 1 Andrew Zisserman 25k citations
- 2 Li Fei-Fei 17k citations
- 3 Serge Belongie 14k citations
- 4 Jitendra Malik 12k citations
- 5 Deva Ramanan 11k citations
- 6 Wei Liu 9.7k citations
- 7 Luc Van Gool 8.5k citations
- 8 Alan Yuille 8.4k citations
- 9 Xiaoou Tang 8k citations
- 10 Chen Change Loy 7.7k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Advanced Image Processing Techniques research done?
The largest centres of Advanced Image Processing Techniques research in 2022–2025 are Beijing (China), Shanghai (China), Xi'an (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Shenzhen and Patna.
Largest cities, 2022–2025
Where it is the local speciality
- ShenzhenCN · 185.9 works6.6×
- PatnaIN · 21.0 works6.1×
Location quotient: how much more of its research is in Advanced Image Processing Techniques than the world average.
Where is the best place to study Advanced Image Processing Techniques?
Among universities, judged by research, University of Science and Technology of China, Dalian Maritime University and Nanyang Technological University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | University of Science and Technology of China China | 67.8 | 30.9% | 7.9× | 78 | +126.7% |
| 2 | Dalian Maritime University China | 62.6 | 24.3% | 9.5× | 29 | +185.9% |
| 3 | Nanyang Technological University Singapore | 60.2 | 43.1% | 5.7× | 38 | -11.8% |
| 4 | Fuzhou University China | 58.9 | 17.9% | 8.1× | 38 | +224.4% |
| 5 | University of Macau Macau | 58.0 | 44.1% | 3.6× | 10 | +248.2% |
| 6 | University of Electronic Science and Technology of China China | 57.8 | 19.4% | 7.5× | 70 | +109.8% |
| 7 | Xidian University China | 57.6 | 15.1% | 11.4× | 69 | +37.6% |
| 8 | Shenzhen University China | 57.2 | 15.5% | 7.0× | 43 | +411.1% |
| 9 | City University of Hong Kong Hong Kong | 56.3 | 27.9% | 5.6× | 27 | +90.0% |
| 10 | Wuhan Institute of Technology China | 55.7 | 11.8% | 12.5× | 23 | +437.2% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Advanced Image Processing Techniques research growing?
Output in 2018–2022 was 68% higher than in 2013–2017, peaking in 2023. The fastest-growing topics are Advanced Image Processing Techniques.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.