Automatic image decomposition

Kedar A. Patwardhan, Guillermo Sapiro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

The decomposition of an image into its primitive components, such as cartoon plus texture, is a fundamental problem in image processing. In [11, 16], the authors proposed a technique to achieve this decomposition into structure and texture. These two components are competing ones, and their proposed model has a critical parameter that controls this decomposition. In this paper we show how to automatically select this parameter, and demonstrate with examples the importance of this optimal selection.

Original languageEnglish (US)
Title of host publication2004 International Conference on Image Processing, ICIP 2004
Pages645-648
Number of pages4
DOIs
StatePublished - 2004
Externally publishedYes
Event2004 International Conference on Image Processing, ICIP 2004 - , Singapore
Duration: Oct 24 2004Oct 27 2004

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume1
ISSN (Print)1522-4880

Conference

Conference2004 International Conference on Image Processing, ICIP 2004
Country/TerritorySingapore
Period10/24/0410/27/04

All Science Journal Classification (ASJC) codes

  • General Engineering

Keywords

  • Bounded variation
  • Image decomposition
  • Inpainting
  • Parameter selection
  • Structure
  • Texture

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