Dear all, I'm reviewing - yes I want to understand - the wavelet denoising used in dcraw, reworked in ufraw, ported to gimp in some variant. All seem to have the same basis going back to dcraw.
Forgive me if it is a stupid question, but is there actually someone around that understands in detail the algorithm that is used and/or has some reference to it ? I understand it is an a trous algorithm with some linear interpolation scaling filter, but I don't grasp the latest detail of implementation (and sometimes I doubt if the signs are fully correct in the hat_transform function). Also the noise thresholding seems black magick (I mean the noise array , where is it coming from ?). I would be thankful if someone could help me understanding it. Jos ------------------------------------------------------------------------------ Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day trial. Simplify your report design, integration and deployment - and focus on what you do best, core application coding. Discover what's new with Crystal Reports now. http://p.sf.net/sfu/bobj-july _______________________________________________ ufraw-devel mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/ufraw-devel
