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Proceedings Paper

Adaptive image sharpening using multiresolution representations
Author(s): A. Evan Iverson; James R. Lersch
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Paper Abstract

Image sharpening is defined as a process in which high-resolution information from one image is used to increase the spatial resolution of a second coregistered image of lower resolution. Image sharpening is of interest for applicaiton to multispectral and multisensor imagery. We present an adaptive technique to perform image sharpening based on the use of multiresolution image representations and neural networks. This technique is easily applied to provide resolution enhancement by powers of two and promises to accurately maintain the spectral characteristics of the original low-resolution image.

Paper Details

Date Published: 8 July 1994
PDF: 12 pages
Proc. SPIE 2231, Algorithms for Multispectral and Hyperspectral Imagery, (8 July 1994); doi: 10.1117/12.179787
Show Author Affiliations
A. Evan Iverson, Science Applications International Corp. (United States)
James R. Lersch, Science Applications International Corp. (United States)


Published in SPIE Proceedings Vol. 2231:
Algorithms for Multispectral and Hyperspectral Imagery
A. Evan Iverson, Editor(s)

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