Adaptive image decomposition into cartoon and texture parts optimized by the orthogonality criterion

Dniel Szolgay, Tams Sziranyi

Research output: Contribution to journalArticle

13 Citations (Scopus)

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 are orthogonal to each other. The presented method has been compared with other decomposition algorithms through visual and numerical evaluation to prove its superiority.

Original languageEnglish
Article number6175955
Pages (from-to)3405-3415
Number of pages11
JournalIEEE Transactions on Image Processing
Volume21
Issue number8
DOIs
Publication statusPublished - Jul 27 2012

Keywords

  • Anisotropic diffusion
  • image decomposition
  • quality criterion
  • texture segmentation
  • total variation

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

Fingerprint Dive into the research topics of 'Adaptive image decomposition into cartoon and texture parts optimized by the orthogonality criterion'. Together they form a unique fingerprint.

  • Cite this