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Proceedings Paper

Parameter free image artifacts detection: a compression based approach
Author(s): Avid Roman-Gonzalez; Mihai Datcu
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Paper Abstract

The qualified Earth Observation (EO) images sometimes may present unexpected artifacts. These perturbations and distortions can make more difficult the analysis of images and may decrease the efficiency of interpretation algorithms because the information is distorted. Thus is necessary to implement methods able to detect these artifacts regardless of the model which are formed, i.e. parameter free. In this article, we propose and present a method based on data compression, whether lossy compression or lossless compression for detecting aliasing, strips, saturation, etc.

Paper Details

Date Published: 13 October 2010
PDF: 13 pages
Proc. SPIE 7830, Image and Signal Processing for Remote Sensing XVI, 783008 (13 October 2010); doi: 10.1117/12.865977
Show Author Affiliations
Avid Roman-Gonzalez, Télécom ParisTech (France)
Mihai Datcu, Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany)

Published in SPIE Proceedings Vol. 7830:
Image and Signal Processing for Remote Sensing XVI
Lorenzo Bruzzone, Editor(s)

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