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Authors: David Gustavsson ; Kim Steenstrup Pedersen and Mads Nielsen

Affiliation: University of Copenhagen, Denmark

Keyword(s): Image complexity measure, Geometry, Texture, Singular value decomposition, SVD, Truncated singular value decomposition, TSVD, Matrix norm.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Feature Extraction ; Features Extraction ; Image and Video Analysis ; Image Formation and Preprocessing ; Image Quality ; Informatics in Control, Automation and Robotics ; Signal Processing, Sensors, Systems Modeling and Control ; Statistical Approach

Abstract: Images are composed of geometric structures and texture, and different image processing tools - such as denoising, segmentation and registration - are suitable for different types of image contents. Characterization of the image content in terms of geometric structure and texture is an important problem that one is often faced with. We propose a patch based complexity measure, based on how well the patch can be approximated using singular value decomposition. As such the image complexity is determined by the complexity of the patches. The concept is demonstrated on sequences from the newly collected DIKU Multi-Scale image database.

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Paper citation in several formats:
Gustavsson, D.; Steenstrup Pedersen, K. and Nielsen, M. (2009). A SVD BASED IMAGE COMPLEXITY MEASURE. In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP; ISBN 978-989-8111-69-2; ISSN 2184-4321, SciTePress, pages 34-39. DOI: 10.5220/0001785400340039

@conference{visapp09,
author={David Gustavsson. and Kim {Steenstrup Pedersen}. and Mads Nielsen.},
title={A SVD BASED IMAGE COMPLEXITY MEASURE},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP},
year={2009},
pages={34-39},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001785400340039},
isbn={978-989-8111-69-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP
TI - A SVD BASED IMAGE COMPLEXITY MEASURE
SN - 978-989-8111-69-2
IS - 2184-4321
AU - Gustavsson, D.
AU - Steenstrup Pedersen, K.
AU - Nielsen, M.
PY - 2009
SP - 34
EP - 39
DO - 10.5220/0001785400340039
PB - SciTePress