Multiscale image factorization
John L. Johnson, Mary Lou Padgett, William A. Friday · Proceedings of International Conference on Neural Networks (ICNN'97) · 2002
A new hierarchical image decomposition is described which resolves an image into a set of image product factors. The set is ordered in scale from coarse to fine image detail. When the factored set is multiplied together it reproduces the original image. By selecting factors, coarse scene elements such as shadows and fine scene factors such as noise, can be isolated. The scale of detail is controlled by the linking strength of a pulse coupled neural network, on which the system is based.