Image Fusion Algorithms And Reconfigurable Fpga Implementation

Image Fusion Technology is a very popular research area in recent years. Image fusion is the technique that integrates and processes the mufti-source images from various sensors intelligently and obtains more accurate, complete and dependable description about the same scene than any of the individual source images. The purpose of image fusion is to utilize the complementary and redundant information in mufti-source images. As a result of this processing, the fused image should be more suitable for human visual perception or computer further processing tasks such as object recognition and feature extraction, etc.FPGA device supplies a perfect hardware platform for image compress because of its high integration and powerful function. Users could implement their designs by coding with HDL. We can do our designs and do the simulation with PC, we could debug the design with specific software, these make the designing much easier and reduce the designing time.This thesis analyzes the theory digital image fusion in details, and also introduces IHS transform and wavelet transform. Combines the advantage of two algorithms and introduces an image fusion algorithm based on IHS transform and wavelet transform. The lifting scheme for the wavelet transform is very simple, and is easy to be implemented with hardware. According to the algorithm choose in image fusion, the thesis designs the architecture of image fusion. On the basis of the architecture, the thesis describes the whole design in Verilog HDL at the full synthesizable RTL level with synchronous design technology. The simulation and implementation of each module are performed on Altera's FPGA design tools QuartusII5.0, and results show that the design can complete the image fusion correctly.