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Image and Vision Computing
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Implicit convolution

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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.

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Image and Vision Computing

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