Multiresolution deconvolution
Jean‐Luc Starck, Albert Bijaoui · Journal of the Optical Society of America A · 1994
We show how a deconvolution can be performed from the significant structures of an image in the wavelet space. These significant structures are computed from the wavelet coefficients of the data. The wavelet-transform algorithm that is used is a new one based on the fast Fourier transform. This approach is first studied for interferometric images, simulations are done, and then the method is generalized to any kind of data.