Image separation using the monogenic wavelet transform
Akira Morimoto, Ryuichi Ashino, Takeshi Mandai · 2010
The Riesz transforms and the monogenic signal are two-dimensional generalizations of the Hilbert transform and the analytic signal, respectively. The monogenic wavelet transformation is introduced and applied to solve blind source separation problems for images. The monogenic wavelet transformation is used to define spatial-scale information. Algorithms to solve the image separation problem are proposed.