Scanner-model-based document image improvement
Marshall W. Bern, David Theo Goldberg · 2000
We describe a method for improving scanned or faxed document images. Our method assumes a probabilistic model of the scanning process, and uses this model to cluster instances of the same letter and to compute super-resolved representatives of the clusters. The approach also enables Bayesian prior distributions and reversal of scanner distortions such as gain.