Highly Influenced

- Published 2007 in Int. J. Comput. Math.
DOI:10.1080/00207160701356076

Many commonly used models for the fundamental image processing task of noise removal can deal with Gaussian white noise. However such Gaussian models are not effective to restore images with Poisson noise, which is ubiquitous in certain applications. Recently Le-Chartrand-Asaki derived a new data-fitting term in the variational model for Poisson noise. This… CONTINUE READING

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