Wave-packet image fusion technique based on genetic algorithm

Image fusion is area of digital image processing which deals with combining the two complimentary images obtained from different sensors into one single image containing the most relevant information of the provided scene. Research domain of image fusion process is very vast. Application of image fusion ranges from medical field to satellite technology. This fused Image obtained after fusion process has characteristics of each input image. Here in our purposed work we want to fuse CT and MRI images. There are various standard method used for image fusion produce that produce good result spatial result but cause spatial noise. In this paper we represent image fusion technique that will provide better result using Discrete Wave Packet decomposition (DWPT) and optimize result using genetic algorithm (GA) than compare it with Intensity Hue Saturation (IHS) used for image fusion. Performance of purposed fusion technique is measured by mean, standard deviation, entropy, variance, mutual information, peak signal to noise ratio (PSNR) and structure similarity.