Complex wavelets for extended depth-of-field: A new method for the fusion of multichannel microscopy images

Brigitte Forster, Dimitri Van De Ville, Jesse Berent, Daniel Sage, Michael Unser

Research output: Contribution to journalArticlepeer-review

321 Scopus citations

Abstract

Microscopy imaging often suffers from limited depth-of-field. However, the specimen can be "optically sectioned" by moving the object along the optical axis. Then different areas appear in focus in different images. Extended depth-of-field is a fusion algorithm that combines those images into one single sharp composite. One promising method is based on the wavelet transform. Here, we show how the wavelet-based image fusion technique can be improved and easily extended to multichannel data. First, we propose the use of complex-valued wavelet bases, which seem to outperform traditional real-valued wavelet transforms. Second, we introduce a way to apply this technique for multichannel images that suppresses artifacts and does not introduce false colors, an important requirement for multichannel optical microscopy imaging. We evaluate our method on simulated image stacks and give results relevant to biological imaging.

Original languageEnglish
Pages (from-to)33-42
Number of pages10
JournalMicroscopy Research and Technique
Volume65
Issue number1-2
DOIs
StatePublished - Sep 2004
Externally publishedYes

Keywords

  • Complex wavelet transform
  • Digital image processing
  • Focal range
  • Image fusion
  • Optical microscopy

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