Image Fusion Algorithm And Dsp Implementation

Multi-sensor image fusion is one of the hotspots subject in automatic target detection and recognition, which is widely applied in a variety of filed such as image understanding, computer vision and remote sensing. This dissertation mainly aims at image fusion key technology such as image registration and image fusion, and the image fusion system was primarily built up based on DSP. The main contributions are as follows:A systematic of multi-sensor image fusion theory and methods is reviewed, their feature applicability advantages and drawbacks are indicated generalized. And the development of image fusion's methods and system are analyzed. The image registration methods are reviewed, and image registration theory and purpose are analyzed.An image registration method based on mutual information is proposed, owning to the fact that the robust of image registration based on mutual information. The gradient flied is combined into mutual information as the new similar measure function. Then the similar measure function is optimized by Particle Swarm Optimization. In order to improve the precision of image registration and reduce the computation time, the wavelet transform is applied in the image registration. Experiment result verifies the effectiveness of the method.An image fusion method based on module maximum and correlation is proposed, owing to the fact that existing image fusion method could not identify meaningful image features from noise. Firstly, after dyadic wavelet decomposition, the image edges of each scale are gotten using the wavelet coefficients' local module maximum; then, adaptive noise-suppressing method based on the wavelet coefficients' module maximum is applied to obtain image edges, and the edges are fused, combining the cross-band and the cross-scale correlation; finally, images are reconstructed using the edges. The method not only reduces noise but also preserves edge information, and it can reduce computation as well. Theoretic analysis and experiment result verify the effectiveness of the method.To meet the requirement of image fusion of large quantity data, high transmission ratio and complicated computation, a real-time image processing system...