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Proceedings Paper

Image sharpening toolkit (ISTK)
Author(s): Daniel Pulido
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Paper Abstract

There has been significant research on specific image sharpening algorithms, but there has been less work incorporating them into a robust and validated tool. We present the Image Sharpening Toolkit (ISTK), a collection of four validated algorithms that provide error propagation and greater spectral or spatial fidelity, dependent on the user's needs. The algorithms exploit the physics of a sensor, including knowledge of its Tasseled Cap coefficients and Spectral Response Function. In addition, the HSV color model is used to fuse two single-band images and produce a color image. We demonstrate the tool's performance on QuickBird and IKONOS imagery.

Paper Details

Date Published: 12 May 2010
PDF: 11 pages
Proc. SPIE 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, 76952F (12 May 2010); doi: 10.1117/12.850136
Show Author Affiliations
Daniel Pulido, Science Applications International Corp. (United States)


Published in SPIE Proceedings Vol. 7695:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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