@conference {89991,
	title = {Region-based Image Fusion Approach of Panchromatic and Multi-spectral Images},
	booktitle = {,  Proceedings of the Second Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2015, pp.  535-545, },
	year = {2015},
	month = {June 29 - July 1},
	address = {Ostrava, Czech Republic},
	abstract = {<p>In this paper, a region-based image fusion approach were proposed based on the stationary wavelet transform (SWT) in conjunction with marker-controlled watershed segmentation technique. The SWT is redundant, linear and shift invariant and these properties allow SWT to be realized exploiting a recursive algorithm and gives a better approximation than the DWT. The performance of the fusion approach is illustrated via experimental results obtained with a broad series of images and the experimental results used the MODIS multi-spectral bands and Spot panchromatic band to validate the proposed image fusion technique. Moreover, the visual presentation and different evaluation criteria including the standard deviation, the entropy information, the correlation coefficient, the root mean square error, the peak signal to noise ratio and the structural similarity index was used to evaluate the obtained results. The proposed approach achieves superior results compared with the existing work.</p>
},
	url = {http://link.springer.com/chapter/10.1007\%2F978-3-319-21206-7_46},
	author = {Reham Gharbia, Ali Hassan El Baz, Aboul Ella Hassanien, V{\'a}clav Sn{\'a}sel:}
}
