Nonlocal Multiscale Hierarchical Decomposition on Graphs

Abstract. The decomposition of images into their meaningful components is one of the major tasks in computer vision. Tadmor, Nezzar and Vese [1] have proposed a general approach for multiscale hierarchical decomposition of images. On the basis of this work, we propose a multiscale hierarchical decomposition of functions on graphs. The decomposition is based on a discrete variational framework that makes it possible to pro

• Type: Conference
• Year: 2010
• Where: ECCV
• Authors: Moncef Hidane, Olivier Lezoray, Vinh-Thong Ta, Abderrahim Elmoataz
• Keywords: Computer Vision, Discrete Variational Framework, ECCV 2010, Meaningful Components, Multiscale Hierarchical Decomposition