BLIND EXTRACTION OF SPARSE IMAGES FROM UNDER-DETERMINED MIXTURES
Włodzimierz Kasprzak, Andrzej S Cichocki, Adam F. Okazaki · Kluwer Academic Publishers eBooks · 2006
We propose a blind signal extraction approach to the extraction of binary and sparse images from their under-determined mixtures, i.e. when the number of sensors is lower by one than the number of unknown sources. A practically feasible solution is proposed for constrained classes of images, i.e. sparse, binaryvalued and dynamically-constrained sources.