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Multifocus image fusion using the log-Gabor transform and a Multisize Windows technique

Published: 01 April 2009 Publication History

Abstract

Today, multiresolution (MR) transforms are a widespread tool for image fusion. They decorrelate the image into several scaled and oriented sub-bands, which are usually averaged over a certain neighborhood (window) to obtain a measure of saliency. First, this paper aims to evaluate log-Gabor filters, which have been successfully applied to other image processing tasks, as an appealing candidate for MR image fusion as compared to other wavelet families. Consequently, this paper also sheds further light on appropriate values for MR settings such as the number of orientations, number of scales, overcompleteness and noise robustness. Additionally, we revise the novel Multisize Windows (MW) technique as a general approach for MR frameworks that exploits advantages of different window sizes. For all of these purposes, the proposed techniques are firstly assessed on simulated noisy experiments of multifocus fusion and then on a real microscopy scenario.

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Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 April 2009

Author Tags

  1. Additive noise
  2. Gabor representation
  3. Microscopy
  4. Multifocus imaging
  5. Multiresolution fusion
  6. Overcompleteness
  7. Wavelet transform

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  • (2022)A curvelet-based multi-sensor image denoising for KLT-based image fusionMultimedia Tools and Applications10.1007/s11042-021-11570-z81:4(4991-5016)Online publication date: 1-Feb-2022
  • (2021)A New Medical Image Fusion Approach Using Spatial Attention and Weighted Local EnergyProceedings of the 2021 8th International Conference on Biomedical and Bioinformatics Engineering10.1145/3502871.3502872(1-6)Online publication date: 12-Nov-2021
  • (2021)A new wavelet-based multi-focus image fusion technique using method noise and anisotropic diffusion for real-time surveillance applicationJournal of Real-Time Image Processing10.1007/s11554-021-01125-818:4(1051-1068)Online publication date: 1-Aug-2021
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