Paper
12 May 2010 Image sharpening toolkit (ISTK)
Daniel Pulido
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel Pulido "Image sharpening toolkit (ISTK)", Proc. SPIE 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, 76952F (12 May 2010); https://doi.org/10.1117/12.850136
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KEYWORDS
Sensors

RGB color model

Earth observing sensors

High resolution satellite images

Multispectral imaging

Landsat

Image sensors

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