Perceptual Image Fusion Using Wavelets

Paul Hill; Mohammed Ebrahim Al-Mualla; David Bull

doi:10.1109/TIP.2016.2633863

Perceptual Image Fusion Using Wavelets

Paul Hill, Mohammed Ebrahim Al-Mualla, David Bull

Research output: Contribution to journal › Article (Academic Journal) › peer-review

86 Citations (Scopus)

640 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 language	English
Article number	7762914
Pages (from-to)	1076-1088
Number of pages	13
Journal	IEEE Transactions on Image Processing
Volume	26
Issue number	3
Early online date	1 Dec 2016
DOIs	https://doi.org/10.1109/TIP.2016.2633863
Publication status	Published - 1 Mar 2017

Keywords

Discrete wavelet transforms
HVS
image fusion

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10.1109/TIP.2016.2633863

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Vision for the Future-Full
Bull, D. R. (Principal Investigator)
1/02/15 → 31/01/20
Project: Research

Professor David R Bull
- Dave.Bullbristol.acuk
- School of Computer Science - Professor of Signal Processing
- Visual Information Laboratory
- Bristol Vision Institute
Person: Academic , Group lead

Cite this

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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.",

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Perceptual Image Fusion Using Wavelets

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