TITLE:
Medical Image Fusion Based on Wavelet Multi-Scale Decomposition
AUTHORS:
Huiping Zhu, Bin Wu, Peng Ren
KEYWORDS:
Wavelet Transform; Image Fusion; Regional Variance Improvement; Fusion Rule
JOURNAL NAME:
Journal of Signal and Information Processing,
Vol.4 No.2,
May
15,
2013
ABSTRACT: This paper describes a method to decompose multi-scale information from different source medical image using wavelet transformation. The data fusion between CT image and MRI image is implemented based on the coefficients fusion rule which included choice of regional variance and weighted average wavelet information. The result indicates that this method is better than WMF, LEF and RVF on fusion results, details and target distortion.