The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008
(c) Wavelet algorithm image (d) Our algorithm image (c) Wavelet algorithm image (d) Our algorithm image
Figure 1 First fusion experiment of multifocus image
Figure 2 Second fusion experiment of multifocus image
We compute the average gradients of the two groups of images,
the results are shows as Table 1.
Left
focus
Right
focus
Wavelet
Our
method
Experiment 1
Experiment 2
2.5166
2.6161
3.8978
2.8508
4.2799
2.4947
5.0357
3.2018
Table 1 Comparison of image average gradient
From Table 1, we can notice that our algorithm has higher
average gradient than wavelet method and the defocused images,
which demonstrators that our algorithm is valid and performs
well.
5. CONCLUSION
There are two types of multifocus image fusion methods, the
spatial domain and the frequency domain. However, they both
have respective disadvantages. This paper proposed a spatial
domain and frequency domain integrated approach to fusion
multifocus image. Two groups of different focus images were
performed to evaluate the performance of our method.
Experimental results showed that our algorithm can provide
better performance than the wavelet method from both visual
perception and quantitative analysis.
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ACKNOWLEDGEMENTS
This research is funded by China’s Special Technical D&R
Project for Scientific Academies or Institutes, MOST and Basic
Research Fund of Chinese Academy of Meteorological
Sciences.
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