Abstract
Fusion of Low Resolution Multi Spectral (LRM) image and High Resolution Panchromatic (HRP) image is a very important topic in the field of remote sensing. This paper represents an efficient method for image fusion using New Additive Wavelet transform (NAW) based on the à trous algorithm. The fused image should preserve both geometric and the radiometric information. The use of geometric features along with spectral information improves the visualization quality of imagery. In this method intensity of the LRM image is added to the difference of the wavelet planes of HRP and LRP. The experimental results show that this method can well preserve spectral and spatial details of the source images. The proposed method provides competitive or even superior results for the input images compared to other well-known methods by providing 85.25% Quality with No Reference (QNR).
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Bama, B.S., Sankari, S.G.S., Kamalam, R.E.J., Kumar, P.S. (2013). New Additive Wavelet Image Fusion Algorithm for Satellite Images. In: Maji, P., Ghosh, A., Murty, M.N., Ghosh, K., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2013. Lecture Notes in Computer Science, vol 8251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45062-4_42
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DOI: https://doi.org/10.1007/978-3-642-45062-4_42
Publisher Name: Springer, Berlin, Heidelberg
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