Adaptive image sharpening using multiresolution representations

A. Evan Iverson; James R. Lersch

doi:10.1117/12.179787

8 July 1994 Adaptive image sharpening using multiresolution representations

A. Evan Iverson, James R. Lersch

Proceedings Volume 2231, Algorithms for Multispectral and Hyperspectral Imagery; (1994) https://doi.org/10.1117/12.179787
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

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

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