Image fusion using complex wavelets

PR Hill, CN Canagarajah, DR Bull

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

Abstract

The fusion of images is the process of combining two or more images into a single image retaining important features from each. Fusion is an important technique within many disparate fields such as remote sensing, robotics and medical applications. Wavelet based fusion techniques have been reasonably effective in combining perceptually important image features. Shift invariance of the wavelet transform is important in ensuring robust subband fusion. Therefore, the novel application of the shift invariant and directionally selective dual tree complex wavelet transform (DT-CWT) to image fusion is now introduced. This novel technique provides improved qualitative mid quantitative results compared to previous wavelet fusion methods
Translated title of the contributionImage fusion using complex wavelets
Original languageEnglish
Title of host publicationBritish Machine Vision Conference 2002 (BMVC2002) Cardiff, UK
PublisherBritish Machine Vision Association
Pages487 - 496
Number of pages10
ISBN (Print)1901725200
Publication statusPublished - 2 Sep 2002

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