Parameter free image artifacts detection: a compression based approach | Zendy

Avid Roman–Gonzalez | Zendy; Mihai Datcu | Zendy

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Parameter free image artifacts detection: a compression based approach

Author(s) -

Avid Roman–Gonzalez,

Mihai Datcu

Publication year - 2010

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.865977

Subject(s) - lossy compression , lossless compression , computer science , data compression , compression (physics) , aliasing , image compression , artificial intelligence , computer vision , compression artifact , texture compression , data compression ratio , transform coding , algorithm , image (mathematics) , image processing , discrete cosine transform , filter (signal processing) , materials science , composite material

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.

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