ENERGY BASED WAVELET IMAGE FUSION

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.