Conference PaperTraditional filtering methods operate on the entire signal or image. In some applications, however, errors are concentrated in specific regions or features. A prime example is images generated using computed tomography. Practical implementations limit the amount of high frequency content in the reconstructed image, and consequently, edges are blurred. We introduce a new post-reconstruction edge enhancement algorithm, based on the reassignment principle and wavelets, that localizes its sharpening exclusively to edge features. Our method enhances edges without disturbing the low frequency textural details.Defense Advanced Research Projects AgencyArmy Research OfficeNational Science Foundatio

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DSpace at Rice University

Last time updated on 11/06/2012

This paper was published in DSpace at Rice University.

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