@inproceedings{a60a8e9f774d40d88c0c703f519d78b3,
title = "Structure-texture decomposition by a TV-gabor model",
abstract = "This paper explores new aspects of the image decomposition problem using modern variational techniques. We aim at splitting an original image f into two components u and v, where u holds the geometrical information and v holds the textural information. Our aim is to provide the necessary variational tools and suggest the suitable functional spaces to extract specific types of textures. Our modeling uses the total-variation semi-norm for extracting the structural part and a new tunable norm, presented here for the first time, based on Gabor functions, for the textural part. A way to select the splitting parameter based on the orthogonality of structure and texture is also suggested.",
keywords = "BV, Gabor functions, Hilbert space, Image decomposition, Projection, Total-variation",
author = "Aujol, {Jean Fran{\c c}ois} and Guy Gilboa and Tony Chan and Stanley Osher",
year = "2005",
doi = "10.1007/11567646_8",
language = "English (US)",
isbn = "3540293485",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "85--96",
booktitle = "Variational, Geometric, and Level Set Methods in Computer Vision - Third International Workshop, VLSM 2005, Proceedings",
address = "Germany",
note = "3rd International Workshop on Variational, Geometric, and Level Set Methods in Computer Vision, VLSM 2005 ; Conference date: 16-10-2005 Through 16-10-2005",
}