A Variational Approach to Reconstructing Images Corrupted by Poisson Noise
By Triet Huynh Minh Le, Rick Chartrand, Thomas J. Asaki. Journal of Mathematical Imaging and Vision, 2007
432 citations recorded by the source corpus.
Subfields: Biophysics, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/094f453ceca35dd406376c57c02fa2f7f57e3913
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In Biophysics
In Computer Vision and Pattern Recognition
- Michael A. Unser
- Thierry Blu
- Florian Luisier
- Yonina C. Eldar
- Marco F. Duarte
- Richard Baraniuk
- Masanori Morise
- Peter Lempel Søndergaard
Citations in the corpus
- Image Denoising in Mixed Poisson–Gaussian Noise (2011, methodology): “Note that there are also non-multiscale methods for Poisson denoising, e.g., [4]–[6].”
- Restoration of Poissonian Images Using Alternating Direction Optimization (2010, neutral): “Under amaximum a posteriori (MAP) or regularization criterion, the image estimate is obtained by solving a variatio n l problem: minimizing an objective function, which includes the log-likelihood term plus a regularizer [17], [26], [38], un der a positivity constraint.”