Computational models for fusion of texture and color: A comparative study

Hui Liang Shen, John Haozhong Xin

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Fusion of texture and color is to simulate color texture images that are perceptually very close to the actual ones. There are three computational models, i.e., gray-to-color mapping (GCM), color-to-color mapping (CCM), and dichromatic-based (DICH} models. The CCM model is extended to three methods, namely, CCM-RGB, CCM-LCH, and CCM-lαβ, when it is applied in different color spaces. The DICH model contains two methods: DICH-GC and DICH-CC, considering the original image can be either gray scale or color. The color fidelity of these six methods is comparatively investigated in terms of image similarity between simulated and target images.
Original languageEnglish
Article number033003
Pages (from-to)1-7
Number of pages7
JournalJournal of Electronic Imaging
Volume14
Issue number3
DOIs
Publication statusPublished - 1 Jul 2005

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Computer Science Applications
  • Electrical and Electronic Engineering

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