An Efficient Image Fusion Technique Using Wavelet with PCA

  • C. M. Sheela Rani
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 216)


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.


Image fusion Wavelet transforms Principal component analysis (PCA) Intensity-hue-saturation (IHS) Performance measures 


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Copyright information

© Springer India 2014

Authors and Affiliations

  1. 1.Department of Computer ApplicationsNalla Malla Reddy Engineering CollegeHyderabadIndia

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