Extended Depth-of-Focus for Multi-Channel Microscopy Images: A Complex Wavelet Approach
B. Forster, D. Van De Ville, J. Berent, D. Sage, M. Unser
Proceedings of the Second IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'04), Arlington VA, USA, April 15-18, 2004, pp. 660–663.
Microscopy imaging often suffers from limited depth-of-focus. However, the specimen can be “optically sectioned” by moving the object along the optical axis; different areas appear in focus in different images. Extended depth-of-focus is a fusion algorithm that combines those images into one single sharp composite. One promising method is based on the wavelet transform. In this paper, we show how the wavelet-based image fusion technique can be improved and easily extended to multi-channel 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 multi-channel images that suppresses artifacts and does not introduce false colors, an important requirement for multi-channel fluorescence microscopy imaging. We evaluate our method on simulated image stacks and give results relevant to biological imaging.
@INPROCEEDINGS(http://bigwww.epfl.ch/publications/forster0401.html,
AUTHOR="Forster, B. and Van De Ville, D. and Berent, J. and Sage, D. and
Unser, M.",
TITLE="Extended Depth-of-Focus for Multi-Channel Microscopy Images: {A}
Complex Wavelet Approach",
BOOKTITLE="Proceedings of the Second {IEEE} International Symposium on
Biomedical Imaging: {F}rom Nano to Macro ({ISBI'04})",
YEAR="2004",
editor="",
volume="",
series="",
pages="660--663",
address="Arlington VA, USA",
month="April 15-18,",
organization="",
publisher="",
note="")