Publication
Image and Vision Computing
Paper
Implicit convolution
Abstract
Using simple ideas from techniques used in the numerical solution of partial differential equations, the concept of implicit convolution is introduced and analysed. Its properties on one-dimensional finite-length signals are first considered. Then, by appealing to the theory of methods of split-operator type, the use of implicit convolution for image enhancement is presented. This product-form approach can easily be extended to images in higher dimensions. © 1985.