Image fusion using a new framework for complex wavelet transforms

PR Hill, DR Bull, CN Canagarajah

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

22 Citations (Scopus)
357 Downloads (Pure)


Image fusion is the process of extracting meaningful visual information from two or more images and combining them to form one fused image. Image fusion is important within many different image processing fields from remote sensing to medical applications. Previously, real valued wavelet transforms have been used for image fusion. Although this technique has provided improvements over more naive methods, this transform suffers from the shift variance and lack of directionality associated with its wavelet bases. These problems have been overcome by the use of a reversible and discrete complex wavelet transform (the dual tree complex wavelet transform DT-CWT). However, the existing structure of this complex wavelet decomposition enforces a very strict choice of filters in order to achieve a necessary quarter shift in coefficient output. This paper therefore introduces an alternative structure to the DT-CWT that is more flexible in its potential choice of filters and can be implemented by the combination of four normally structured wavelet transforms. The use of these more common wavelet transforms enables this method to make use of existing optimised wavelet decomposition and recomposition methods, code and filter choice.
Translated title of the contributionImage fusion using a new framework for complex wavelet transforms
Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing 2005 (ICIP 2005) Genova, Italy
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
PagesII-1338 - II-1341
Number of pages4
ISBN (Print)0780391349
Publication statusPublished - Sept 2005
EventInternational Conference on Image Processing (2005) - Genoa
Duration: 1 Sept 2005 → …


ConferenceInternational Conference on Image Processing (2005)
Period1/09/05 → …

Bibliographical note

Rose publication type: Conference contribution

Terms of use: Copyright © 2005 IEEE. Reprinted from IEEE International Conference on Image Processing, 2005 (ICIP 2005).

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