BibTeX:

@article{IJIRSTV1I6009,
     title={ENERGY BASED WAVELET IMAGE FUSION},
     author={KOMAL and RISHAV DEWAN},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={6},
     pages={6--13},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I6009.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

This research work for image fusion method gives an increased vividness with the definition of a variety of fusion based assessment parameters. An energy based wavelet transform (ETWT) is used to calculate features of the input images to be fused, separately, to produce a region for fusion map. Fusion intensity of each region is calculated and fusion is done, region-by-region, in the wavelet domain. This method gives results comparable to original wavelet based fusion method, HPF fusion, PCA fusion and it has a number of advantages over given methods. These include: the intelligent semantic fusion for improved perception; and for areas with certain space to be attenuated or accumulated as unfit for fusion and hence not fused. The result of any image fusion is a new generated image that has the most needed information and properties of each input image. Due to the various multi-scale transform, in the proposed fusion algorithm. The fusion has resulted to be very effective in all fusion assessment algorithms and has improved the overall gain needed for a system using image fusion for any particular need.

DWT, DFT, FFT, wavelet, fusion, PAN