Low-rank regularized collaborative filtering for image denoising

@article{Nejati2015LowrankRC,
  title={Low-rank regularized collaborative filtering for image denoising},
  author={Mansour Nejati and Shadrokh Samavi and S. Mohamad R. Soroushmehr and Kayvan Najarian},
  journal={2015 IEEE International Conference on Image Processing (ICIP)},
  year={2015},
  pages={730-734}
}
  • M. NejatiS. Samavi K. Najarian
  • Published 10 December 2015
  • Computer Science
  • 2015 IEEE International Conference on Image Processing (ICIP)
Effective noise removal from image signals strongly relies on good image prior, which that comes from the ill-posed nature of image denoising problem. Nonlocal self-similarity and sparsity are two popular and widely used image priors which have led to several state-of-the-art methods in natural image denoising. In recent years, much progress has been made on low-rank modeling and it has achieved great successes in various image analysis problems. In this paper, we propose a new denoising… 
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