Image Fusion Based On The Wavelet And Ridgelet Transform

Image fusion is an integrated information processing technology, which mainly aims to improve the reliability of images by processing the redundant information and the definition of images by processing complementary information among several images. In recent years, image fusion has become into a new important and useful technology in the field of image analysis and computer vision. This paper is mainly to discuss pixel-level image fusion technology.After, introducing the background of research, basic concepts, development, internal and external application and research of image fusion technology, the paper elaborates the fundamental principles and methods employed in pixel-level image fusion technology and puts forth a combination of the subjective and objective evaluation criteria for image fusion performance and the effect of the fused images, which is proved to be reasonable and effective by a great number of experiments mentioned later in the paper.The second and third chapter in this paper, the wavelet transform, which is good at processing the "dot" feature of images, and the ridgelet transform, which is good at processing the "line" feature of images, are applied on image fusion.The second chapter of the paper focuses on the wavelet-transform-based image fusion method of which the basic theories, multi-resolution analysis, Mallat fast algorithm and atrous algorithm are discussed. Then the decimated and undecimated wavelet transform based image fusions are discussed. In the end of the chapter, through a series of experiments, some conclusions are be reached.The third chapter in the paper, the ridgelet transform based image fusion is presented.In the here, the differences in expressing the features of the signals between the wavelet transform and the ridgelet transform, the basic theories of the ridgelet transform, the monoscale ridgelet transform, the implementation of ridgelet algorithm and the basic ideas of the ridgelet transform based image fusion. In the end, through the experiments, the discussion focuses on how the sub-blocks affect the quality of the fused image, at the same time, and the chapter presents the advantage in keeping the space information of the source images of the ridgelet transform.The last chapter, the development of the image fusion and the hot topics are discussed.