A super-resolution reconstruction algorithm for surveillance images

By Liangpei Zhang, Hongyan Zhang, Huanfeng Shen, Pingxiang Li. Signal Processing, 2010

367 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/6598c1324a4da810ea104e33a16372ee3bc17d44

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Jian Chen
2. Thomas Baltzer Moeslund
3. Steven C. H. Hoi
4. Zhihao Wang
5. Kamal Nasrollahi
6. Dacheng Tao
7. Luc Van Gool
8. Ming-Hsuan Yang

Citations in the corpus

• Super-resolution: a comprehensive survey (2014, background): “where λ is the regularization parameter [109,134,509].”
• Deep Learning for Image Super-Resolution: A Survey (2019, background): “It enjoys a wide range of real-world applications, such as medical imaging [1], [2], [3], surveillance and security [4], [5]), amongst others.”