Study Of Image Fusion Technology Based On Wavelet Transform

Image fusion is evolved by information fusion, such process generates a single image which contains a more accurate description of the scene than any of the individual source images. This fused image should be more useful for human visual or machine perception, and it could be more accurate and more comprehensive description of the certain image scene through the processing of redundant information and complementary information of the source image. In recent years, image fusion has become a very important research field of many subjects and has been widely used.According to hierarchical classification, image fusion falls into the following three categories:pixel level fusion, feature level fusion, and decision level fusion. The basis is pixel level, and pixel level fusion is the object of study in this paper.This paper according to the image fusion technology’s background and status, gave some of the basic issues on the image fusion, and discuss the methods of pixel-level image fusion, the main work is as follows:(1) This paper gives a brief description of the image fusion technology’s range of applications, study of the current situation and development prospects and difficulties, and pointed out that images the meaning and importance, and on this basis, the images of the pre-processing stage of image enhancement and image registration method.(2) Explain the steps and comparative study of image fusion methods commonly used discussion on image fusion of subjective and objective quality evaluation criteria and the selection of evaluation index, and gives a brief description; Comprehensive analysis, introduction to the theory and its application in image fusion based on wavelet transform.(3) According to the common fusion methods to do a lot of simulation test, control simulation test results, pointed out that the lack of discussion on image fusion, and improved a method which based on regional local average gradient fusion with Wavelet Decomposition method. The method using Wavelet Decomposition of the original image for low frequency and high frequency sections, for low frequency section, using a weighted coefficient; high frequency part of the use of "local average gradient" fusion methods. Using visible light, infrared images left and focus image focus image and right carried out simulation experiments, using objective evaluation to verify the feasibility of the method.