Wavelet packet transform based fusion of misaligned images

Sreekala, K.; Kuncheria, R. P.

doi:10.1109/iccpct.2016.7530190

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Multimodal Imaging Data Fusion: Methodology1

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2020

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“…Nevertheless, the discrete wavelet packet transform (DWPT) [254, 255] passes all coefficients (both approximation and detail) through QMF to create a full binary tree. Sreekala and Kuncheria [256] used WPT to implement misaligned image fusion. Shah, Merchant [257] combined curvelet wavelet and the WPT method to carry out image fusion.…”

Section: Multimodal Imaging Data Fusion: Methodologymentioning

confidence: 99%

Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation

et al. 2020

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Highlights We analysed over 450 references from all well-famed databases. We provided a comprehensive survey on multimodal data fusion in neuroimaging. This review encompassed current challenges & applications, strengths &limitations. Fundamental fusion rules, and fusion quality assessment methods were reviewed. Atlas-based fusion segmentation, quantification, & applications were reviewed.

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Section: Multimodal Imaging Data Fusion: Methodologymentioning

confidence: 99%