Nonlinear independent component analysis with minimal nonlinear distortion
Proceedings of the 24th international conference on Machine learning
Blind separation of nonlinear mixtures by variational Bayesian learning
Digital Signal Processing
Using non-negative matrix factorization for removing show-through
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Bayesian Source Separation of Linear and Linear-quadratic Mixtures Using Truncated Priors
Journal of Signal Processing Systems
Separation of nonlinear image mixtures by denoising source separation
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Smoke Detection in Video: An Image Separation Approach
International Journal of Computer Vision
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When acquiring an image of a paper document, the image printed on the back page sometimes shows through. The mixture of the front- and back-page images thus obtained is markedly nonlinear, and thus constitutes a good real-life test case for nonlinear blind source separation.This paper addresses a difficult version of this problem, corresponding to the use of "onion skin" paper, which results in a relatively strong nonlinearity of the mixture, which becomes close to singular in the lighter regions of the images. The separation is achieved through the MISEP technique, which is an extension of the well known INFOMAX method. The separation results are assessed with objective quality measures. They show an improvement over the results obtained with linear separation, but have room for further improvement.