Image Fusion Using DWT & PCA

Image fusion is of great importance in defence and information from multiple images of same scene. The result of fusion is a new image which is more suitable for human and machine perception. Pixel level image fusion using wavelets and principal component analysis has been implemented and demonstrated. different performance metrics with and without reference image are implemented to evaluate the performance of mage fusion algorithms. It has been concluded that image fusion using wavelets with higher level of decomposition showed better performance in some metrics and in other metrics PCA showed better performance.

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