Abstract
Image fusion is a process in which high-resolution Panchromatic Image (PAN) is combined with a low resolution Multispectral Image (MS) to form a new single image which contains both the spatial information of the PAN image and the spectral information of the MS image. By applying wavelet transform alone, the fusion result is often not good. Hence, when a wavelet transform is integrated with any traditional fusion method the fusion results are better. The decimated and undecimated wavelets used in image fusion can be categorized into three classes: Orthogonal, Biorthogonal, and Nonorthogonal. In this study, a fusion technique is proposed which uses both wavelet and PCA method for fusing the IRS-1D images using LISS III scanner for the locations Vishakhapatnam and Hyderabad, India. The proposed fusion results are compared using statistical performance measures and analyzed. It was ascertained that the wavelet with PCA is superior to the other wavelet transform methods.
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Sheela Rani, C.M. (2014). An Efficient Image Fusion Technique Using Wavelet with PCA. In: Sathiakumar, S., Awasthi, L., Masillamani, M., Sridhar, S. (eds) Proceedings of International Conference on Internet Computing and Information Communications. Advances in Intelligent Systems and Computing, vol 216. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1299-7_18
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DOI: https://doi.org/10.1007/978-81-322-1299-7_18
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