Parameter free image artifacts detection: a compression based approach

Avid Roman-Gonzalez; Mihai Datcu

doi:10.1117/12.865977

13 October 2010 Parameter free image artifacts detection: a compression based approach

Avid Roman-Gonzalez, Mihai Datcu

Proceedings Volume 7830, Image and Signal Processing for Remote Sensing XVI; 783008 (2010) https://doi.org/10.1117/12.865977
Event: SPIE Remote Sensing, 2010, Toulouse, France

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.

Citation Download Citation

Avid Roman-Gonzalez and Mihai Datcu "Parameter free image artifacts detection: a compression based approach", Proc. SPIE 7830, Image and Signal Processing for Remote Sensing XVI, 783008 (13 October 2010); https://doi.org/10.1117/12.865977

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