A SVD Based Image Complexity Measure

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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.
Original languageEnglish
Title of host publicationVISAPP 2009 : PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS
Number of pages6
Volume2
Publication date2009
Pages34-39
ISBN (Print)978-989-8111-69-2
Publication statusPublished - 2009
Event4th International Conference on Computer Vision Theory and Applications (VISAPP 09) - Lissabon, Portugal
Duration: 5 Feb 20098 Feb 2009
Conference number: 4

Conference

Conference4th International Conference on Computer Vision Theory and Applications (VISAPP 09)
Nummer4
LandPortugal
ByLissabon
Periode05/02/200908/02/2009

ID: 9225418