Robust estimation approach for blind denoising

@article{Rabie2005RobustEA,
  title={Robust estimation approach for blind denoising},
  author={Tamer F. Rabie},
  journal={IEEE Transactions on Image Processing},
  year={2005},
  volume={14},
  pages={1755-1765}
}
This work develops a new robust statistical framework for blind image denoising. Robust statistics addresses the problem of estimation when the idealized assumptions about a system are occasionally violated. The contaminating noise in an image is considered as a violation of the assumption of spatial coherence of the image intensities and is treated as an outlier random variable. A denoised image is estimated by fitting a spatially coherent stationary image model to the available noisy data… CONTINUE READING
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