Low-quality videos often not only have limited resolution, but also suffer from noise. Directly up-sampling a video without considering noise could deteriorate its visual quality due to magnifying noise. This paper addresses this prob- lem with a unified framework that achieves simultaneous de-noising and super-resolution. This framework formulates noisy video super-resolution as an optimization problem, aiming to maximize the visual quality of the result. We con- sider a good quality result to be fidelity-preserving, detail- preserving and smooth. Accordingly, we propose measures for these qualities in the scenario of de-noising and super- resolution. The experiments on a variety of noisy videos demonstrate the effectiveness of the presented algorithm.

@InProceedings{LWZGG08,
  author       = "Liu, Feng and Wang, Jinjun and Zhu, Shenghuo and Gleicher, Michael and Gong, Yihong",
  title        = "Noisy Video Super-Resolution",
  booktitle    = "Proceedings of the 16th ACM International Conference on Multimedia",
  pages        = "713--716",
  year         = "2008",
  publisher    = "ACM",
  address      = "New York, NY, USA",
  doi          = "http://doi.acm.org/10.1145/1459359.1459467",
  url          = "http://graphics.cs.wisc.edu/Papers/2008/LWZGG08"
}