Abstract
Image fusion is one important application in information processing area. The goal of image fusion is to integrate complementary information from multi-sensor data such that the new images are more suitable for the purpose of human visual perception and computer-processing. Wavelet analysis, which has the local excellence both in time and frequency domain, has become a principal technique in image fusion. With the development of the multi-band wavelet in recent years, image fusion based on wavelet has come into a new area. We give the decomposed and reconstructed algorithm of M-band wavelet, and propose an image fusion scheme which is based on the M-band wavelet transform. By compare with the fusion scheme, we find the M-band wavelet scheme has better quality in image fusion.
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© 2011 Springer-Verlag Berlin Heidelberg
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Wang, Y. (2011). Image Fusion Method Based on Multi-band Wavelet Transform. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23753-9_25
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DOI: https://doi.org/10.1007/978-3-642-23753-9_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23752-2
Online ISBN: 978-3-642-23753-9
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