Image denoising by targeted external databases

@article{Luo2014ImageDB,
  title={Image denoising by targeted external databases},
  author={Enming Luo and Stanley H. Chan and Truong Q. Nguyen},
  journal={2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2014},
  pages={2450-2454}
}
Classical image denoising algorithms based on single noisy images and generic image databases will soon reach their performance limits. In this paper, we propose to denoise images using targeted external image databases. Formulating denoising as an optimal filter design problem, we utilize the targeted databases to (1) determine the basis functions of the optimal filter by means of group sparsity; (2) determine the spectral coefficients of the optimal filter by means of localized priors. For a… CONTINUE READING
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