10 March 2006 An improved method of wavelet image fusion for extended depth-of-field microscope imaging
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Abstract
Digital image fusion is a useful technique that can be applied to achieve extended depth-of-field microscope imaging. The central idea is to incorporate from all input images the regions that contain most in-focus signals into a single composite image. The amount of signal content of a particular region is estimated by an activity measure in general. To our best knowledge, all existing approaches in the literatures rely on estimates based on the strength of high frequency signal components as the activity measure. However, such measure does not distinguish true image signals from noise. We propose to use a multiscale point-wise product as the activity measure, which does not amplify the effect of noise. The resulting scheme shows a significant improvement on imaging of cytological specimens in terms of both subjective and objective quality even under a noise-free environment. More importantly, the scheme has a significant advantage over existing methods in the presence of noise.
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Samuel Cheng, Samuel Cheng, Qiang Wu, Qiang Wu, Hyohoon Choi, Hyohoon Choi, Kenneth R. Castleman, Kenneth R. Castleman, } "An improved method of wavelet image fusion for extended depth-of-field microscope imaging", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61440Q (10 March 2006); doi: 10.1117/12.653408; https://doi.org/10.1117/12.653408
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