Name
Abstract | ||
|---|---|---|
This paper discusses new methods for processing images in the photon-limited regime where the number of photons per pixel is binary. We present a new Bayesian denoising method for binary, single-photon images. Each pixel measurement is assumed to follow a Bernoulli distribution whose mean is related by a nonlinear function to the underlying intensity value to be recovered. Adopting a Bayesian appr... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TCI.2017.2703900 | IEEE Transactions on Computational Imaging |
Keywords | Field | DocType |
Photonics,Detectors,Imaging,Bayes methods,Noise reduction,Image resolution,Computational modeling | Stochastic simulation,Bernoulli distribution,Computer vision,Binary image,Posterior probability,Regularization (mathematics),Artificial intelligence,Pixel,Image resolution,Mathematics,Bayesian probability | Journal |
Volume | Issue | ISSN |
3 | 3 | 2573-0436 |
Citations | PageRank | References |
1 | 0.36 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yoann Altmann | 1 | 229 | 22.58 |
| Reuben Aspden | 2 | 1 | 0.36 |
| Miles Padgett | 3 | 3 | 1.47 |
| Stephen McLaughlin | 4 | 464 | 43.14 |