Pixel Level Image Fusion Based the Wavelet Transform

Image fusion algorithm based on wavelet transform was proposed in this paper to improve quality of image and meet the needs of applications of vision. Because of the high frequency component and low frequency component representing different information of an image, two or more images to be fused should be firstly decomposed into sub-images with different frequency. Then, the different rules of fusion were used to fuse sub-images on different frequency under the certain rules, and finally these sub-images are fused to reconstruct image with plentiful information. Experimental results by MATLAB show that image fusion based on wavelet adds more details and achieves a good fusion results, and the fusion effects would be better if decomposition layer change to more.