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5. CONCLUSION
The study of the weighting image fusion based on wavelet
transformation, on the basis of studying the general weighing
methods, proposes a new thought: different fusion rules will be
used in low frequency image and high frequency image. The
simple weighted average in low frequency uses; as for high
frequency, according to the image statistical property, a fusion
method, based on the biggest criterion of partial region standard
deviation, is designed to carry on the processing . The
experimental result has indicated the validity and the usability
of this method.
The study of image fusion by combining the wavelet
transformation with the feature of human vision system, on the
basis of analysis the characteristic of vision contrast gradient,
creates a kind of measure substitution block variance of
measuring the image block uniformity. Then on this basis, a
new fusion rule is proposed. It can be seen, from the fusion
image and the quantification appraisal result, that a satisfactory
fusion effect will be achieved by using the auto-adapted
threshold value to carry on the dynamic fusion.
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