Image fusion of PET and CT images based on Wavelet Transform

Image fusion is one of the important branches of data fusion. Its purpose is to combine multi-image information in one scene which is more suitable to human vision or more adapt to further image processing such as target identification. In this paper image fusion algorithm based on wavelet transform is proposed to improve quality of image and meet the needs of applications of vision. Two or more images to be fused should be firstly decomposed into sub images with different frequencies. Then, the sub images are fused to reconstruct image. PET/CT medical image fusion has important clinical significance. As the wavelet transform has several particular advantages in comparison with scalar wavelets on image processing. Experimental results show that fusion image combines information of source images, adds more details and texture information and a good fusion result.