Adaptive image sharpening using multiresolution representations

A. Evan Iverson; James R. Lersch

doi:10.1117/12.179787

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.

Citation Download Citation

A. Evan Iverson, James R. Lersch, "Adaptive image sharpening using multiresolution representations", Proc. SPIE 2231, Algorithms for Multispectral and Hyperspectral Imagery, (8 July 1994); doi: 10.1117/12.179787; https://doi.org/10.1117/12.179787

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