Image Enhancement Techniques
Image Enhancement Techniques is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 28k research works in it since 1950. 9.7% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the advancements in image enhancement techniques, including dehazing, contrast enhancement, and color transfer. It covers a wide range of topics such as underwater imaging, single image restoration, low-light enhancement, and high dynamic range imaging. The cluster showcases the application of deep learning methods in addressing challenges related to image processing and enhancement.
- Dehazing
- Contrast Enhancement
- Image Processing
- Underwater Imaging
- Single Image Restoration
- Low-Light Enhancement
- Deep Learning
- Haze Removal
- Color Transfer
- High Dynamic Range
- Research works
- 28k fractional, since 1950
- In the world top 10%
- 2.7k per year above
- Top-10% rate
- 9.7% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +51% the tick is no change
- Largest producer
China
69% of the 10 largest, 2022-now
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