Investigation of the Dual-Tree Complex and Shift-Invariant Discrete Wavelet Transforms on Quickbird Image Fusion

In the current survey, the performance of the shift-invariant discrete wavelet transform and dual-tree complex wavelet transform (DT-CWT) for Quickbird image fusion is investigated. For this purpose, a DT-CWT fusion algorithm is developed and implemented on high-resolution multispectral and panchromatic Quickbird images of Heraclion, Crete, Greece. In order to point out the effectiveness of the aforementioned transforms, the resulting imagery is visually (through photointerpretation) and computationally (through index computations) compared to fusion products derived by other commonly used methods, such as the intensity hue saturation transform (IHS), the discrete wavelet transform, and the crossbred wavelet and IHS transform. The DT-CWT has been proved to provide a complete and effective tool for Quickbird image fusion