Hi, I would like to write a program to filter-out the large scale spatial variations from an image, using a wavelet transform. For this I have padded the image with zeros so it's dimensions are 2*n * 2*n, and I have computed the wavelet transform. I assume that in order to filter-out the large variation scales (e.g. larger than 10 pixels), I need to set some of these coefficients to zero and then do the backward transform. However I am not sure about which coefficients I should to be set to zero in order to do the filtering. Has anybody done that before?
A couple of side questions: what kind of wavelet should I choose for the transform? Is it okay to pad the image with zeros, or is it better to make the image periodic? Thanks in advance for your help, Sebastien _______________________________________________ Help-gsl mailing list [email protected] http://lists.gnu.org/mailman/listinfo/help-gsl
