John R. Kender, Rick Kjeldsen
IEEE Transactions on Pattern Analysis and Machine Intelligence
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.
John R. Kender, Rick Kjeldsen
IEEE Transactions on Pattern Analysis and Machine Intelligence
Jianchang Mao, Patrick J. Flynn, et al.
Computer Vision and Image Understanding
Graham Mann, Indulis Bernsteins
DIMEA 2007
Rakesh Mohan, Ramakant Nevatia
IEEE Transactions on Pattern Analysis and Machine Intelligence