Skip to main navigation Skip to search Skip to main content

Separation Surfaces in the Spectral TV Domain for Texture Decomposition

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we introduce a novel notion of separation surfaces for image decomposition. A surface is embedded in the spectral total-variation (TV) 3D domain and encodes a spatially varying separation scale. The method allows good separation of textures with gradually varying pattern size, pattern contrast, or illumination. The recently proposed TV spectral framework is used to decompose the image into a continuum of textural scales. A desired texture, within a scale range, is found by fitting a surface to the local maximal responses in the spectral domain. A band above and below the surface, referred to as the texture stratum, defines for each pixel the adaptive scale range of the texture. Based on the decomposition, an application is proposed, which can attenuate or enhance textures in the image in a very natural and visually convincing manner.

Original languageEnglish
Article number7505614
Pages (from-to)4260-4270
Number of pages11
JournalIEEE Transactions on Image Processing
Volume25
Issue number9
DOIs
StatePublished - Sep 2016

Keywords

  • Total variation
  • image decomposition
  • image enhancement
  • nonlinear eigenfunction analysis
  • spatially varying texture
  • spectral TV

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

Fingerprint

Dive into the research topics of 'Separation Surfaces in the Spectral TV Domain for Texture Decomposition'. Together they form a unique fingerprint.

Cite this