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. 9.6% 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%
- 2.9k per year above
- Top-10% rate
- 9.6% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +38% the tick is no change
- Largest producer
China
66% of the 10 largest, 2022-now
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