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2006 IEEE International Conference on Robotics and Biomimetics
A New Wavelet Based Multi-focus Image Fusion Scheme and Its Application on Optical Microscopy
Kunming, China
December 17-December 20
ISBN: 1-4244-0570-X
| ASCII Text | x | ||
| Yu Song, Mantian Li, Qingling Li, Lining Sun, "A New Wavelet Based Multi-focus Image Fusion Scheme and Its Application on Optical Microscopy," Robotics and Biomimetics, IEEE International Conference on, pp. 401-405, 2006 IEEE International Conference on Robotics and Biomimetics, 2006. | |||
| BibTex | x | ||
| @article{ 10.1109/ROBIO.2006.340210, author = {Yu Song and Mantian Li and Qingling Li and Lining Sun}, title = {A New Wavelet Based Multi-focus Image Fusion Scheme and Its Application on Optical Microscopy}, journal ={Robotics and Biomimetics, IEEE International Conference on}, volume = {0}, year = {2006}, isbn = {1-4244-0570-X}, pages = {401-405}, doi = {http://doi.ieeecomputersociety.org/10.1109/ROBIO.2006.340210}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Robotics and Biomimetics, IEEE International Conference on TI - A New Wavelet Based Multi-focus Image Fusion Scheme and Its Application on Optical Microscopy SN - 1-4244-0570-X SP401 EP405 A1 - Yu Song, A1 - Mantian Li, A1 - Qingling Li, A1 - Lining Sun, PY - 2006 KW - null VL - 0 JA - Robotics and Biomimetics, IEEE International Conference on ER - | |||
Multi-focus image fusion is a process of combining two or more partially defocused images into a new image with all interested objects sharply imaged. In this paper, after reviewing the multi-focus image fusion techniques, a wavelet based fusion scheme with new image activity level measurement is presented. The proposed multi-resolution image fusion technique includes three steps: First, multi-resolution discrete wavelet transform (DWT) is applied to obtain the wavelet coefficients of the source images. Then, applying proposed coefficients fusion scheme to the obtained coefficients, the wavelet coefficients of the fusion image are reconstructed. Finally, the final fusion image is generated by applying inversed wavelet transform. In experiments, artificial defocused images (by applying low-pass filter to the specified regions) are utilized to investigate the performance of proposed scheme and to select suitable wavelet family and wavelet decomposition scales. Then we apply the proposed image fusion scheme to optical microscopy domain to solve the short depth of focus characteristic of optical microscope. The experiments results verify the validity of the proposed multi-focus image fusion scheme.
Citation:
Yu Song, Mantian Li, Qingling Li, Lining Sun, "A New Wavelet Based Multi-focus Image Fusion Scheme and Its Application on Optical Microscopy," robio, pp.401-405, 2006 IEEE International Conference on Robotics and Biomimetics, 2006
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