title: Complex wavelets for extended depth-of-field: a new method for the fusion of multichannel microscopy images.
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.
authors.affiliation: Swiss Federal Institute of Technology Lausanne (EPFL), Biomedical Imaging Group, LIB Bât. BM, CH-1015 Lausanne, Switzerland.
authors.forename: Brigitte
authors.initials: B
authors.lastname: Forster
authors.forename: Dimitri
authors.initials: D
authors.lastname: Van De Ville
authors.forename: Jesse
authors.initials: J
authors.lastname: Berent
authors.forename: Daniel
authors.initials: D
authors.lastname: Sage
authors.forename: Michael
authors.initials: M
authors.lastname: Unser
mesh_terms: D000818:Animals; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007422:Intestines / Q000166:cytology*; D051379:Mice; D008853:Microscopy / Q000379:methods