NEWTON TRANSFORMS - NEW TOOLS FOR CAST AND IMAGE-PROCESSING

From Newton filters, previously presented computer aided systems theor y (CAST) tools whose basic ideas for design are inspired directly by t he neurons of the retinal pathway, we define a new class of transforms , the Newton transforms, using what we call Newton matrices. The prope rties of these matrices, which are explained in this paper, make it po ssible to define this transformation on data fields whose inverse has the same structure as the direct transform. A parallel processing neur on-like structure for computing these calculations is designed, and an example of the use of this technique is on image processing and codin g is also presented.