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Multi-sensor image fusion of the lunar image data using DT-CWT and curvelet transform

Multisensor image fusion is the process of combining relevant information from high spatial resolution image and high spectral resolution image. This paper proposes a new image fusion method based on Dual Tree-Complex Wavelet Transform (DTCWT), and Curvelet transform for remotely sensed lunar image data in order to extract features accurately. Different fusion techniques have been used in the past separately for spatial and spectral quality image enhancement. In this study, we use a new image fusion technique based on Dual Tree — Complex Wavelet Transform (DT-CWT) and Curvelet transforms. Results indicate that the fused lunar image shows good spatial fidelity and the spectral resolution of the fused product was preserved after image data fusion. It is seen that 95.98% of the spectral content is preserved by curvelet fusion. From the results of statistical evaluation parameters demonstrated for the two study sites, it is found that curvelet transform gives better results than the other techniques commonly used.