Fusion algorithm for images data by using steerable pyramid transform

Image fusion refers to the techniques that integrate complementary information from multiple image sensor data such that the new images are more suitable for the purpose of human visual perception and the compute-processing tasks. In this paper, a new image fusion algorithm based on steerable pyramid transform to fuse multisensor image data is presented. It has several advantages in comparison with other pyramid transform in image fusion. In this paper, the image fusion is performed at the pixel level, a feature-based fusion rule is used to combine original sub-images and to form a pyramid for the fused image. When images are merged in sub-space, different frequency ranges are processed differently. It can merge information from original images adequately and improve abilities of information analysis and feature extraction. The experiment results show that this fusion algorithm, based on using steerable pyramid transform, can gain a more satisfactory fusion outcome.