Pan sharpening is defined as the fusion of low resolution multispectral image with panchromatic image, which plays a significant role in the field of remote sensing. This work considers the fusion of multispectral and panchromatic images (Pan sharpening) using EWT (Empirical Wavelet Transform) and EMD (Empirical Mode Decomposition). EWT and EMD algorithm decomposes the input image into several modes. This paper focus on the performance evaluation of image fusion technique based on EMD and EWT. The image fusion methods based on EWT and EMD are experimented on five sets of panchromatic and multispectral images captured by high resolution earth observation satellites. The efficiency of the fusion methods are evaluated by visual perception and standard fusion metrics. The experimental result analysis based on computed fusion metrics and computation time shows that the fusion method based on EWT outperforms the EMD based fusion approach.
Sowmya V., S., M., and Soman, K. P., “Performance Comparison of Empirical wavelet Transform and Empirical Mode Decomposition on Pan sharpening”, International Journal of Applied Engineering Research, vol. 10, no. 73, 2015.