title: Adaptive image decomposition into cartoon and texture parts optimized by the orthogonality criterion.
abstract: In this paper a new decomposition method is introduced that splits the image into geometric (or cartoon) and texture parts. Following a total variation based preprocesssing, the core of the proposed method is an anisotropic diffusion with an orthogonality based parameter estimation and stopping condition. The quality criterion is defined by the theoretical assumption that the cartoon and the texture components of an image should be orthogonal to each other. The presented method has been compared to other decomposition algorithms through visual and numerical evaluation to prove its superiority.
authors.forename: Dániel
authors.initials: D
authors.lastname: Szolgay
authors.forename: Tamás
authors.initials: T
authors.lastname: Sziranyi
mesh_terms: D000465:Algorithms; D002359:Cartoons as Topic; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity