Perceptual Image Fusion Using Wavelets

Paul Hill, Mohammed Ebrahim Al-Mualla, David Bull

Research output: Contribution to journalArticle (Academic Journal)

23 Citations (Scopus)
397 Downloads (Pure)

Abstract

A perceptual image fusion method is proposed that employs explicit luminance and contrast masking models. These models are combined to give the perceptual importance of each coefficient produced by the dual-tree complex wavelet transform of each input image. This combined model of perceptual importance is used to select which coefficients are retained and furthermore to determine how to present the retained information in the most effective way. This paper is the first to give a principled approach to image fusion from a perceptual perspective. Furthermore, the proposed method is shown to give improved quantitative and qualitative results compared with previously developed methods.

Original languageEnglish
Article number7762914
Pages (from-to)1076-1088
Number of pages13
JournalIEEE Transactions on Image Processing
Volume26
Issue number3
Early online date1 Dec 2016
DOIs
Publication statusPublished - 1 Mar 2017

Keywords

  • Discrete wavelet transforms
  • HVS
  • image fusion

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    Bull, D. R.

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