A SVD Based Image Complexity Measure

TY - GEN

T1 - A SVD Based Image Complexity Measure

AU - Gustafsson, David Karl John

AU - Pedersen, Kim Steenstrup

AU - Nielsen, Mads

N1 - Conference code: 4

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

M3 - Article in proceedings

SN - 978-989-8111-69-2

VL - 2

SP - 34

EP - 39

BT - VISAPP 2009

T2 - 4th International Conference on Computer Vision Theory and Applications (VISAPP 09)

Y2 - 5 February 2009 through 8 February 2009

ER -