TY - GEN
T1 - Extended depth-of-focus for multi-channel microscopy images
T2 - 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
AU - Forster, Brigitte
AU - Van De Ville, Dimitri
AU - Berent, Jesse
AU - Sage, Daniel
AU - Unser, Michael
PY - 2004
Y1 - 2004
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=17144369888&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:17144369888
SN - 0780383885
T3 - 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
SP - 660
EP - 663
BT - 2004 2nd IEEE International Symposium on Biomedical Imaging
Y2 - 15 April 2004 through 18 April 2004
ER -