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Wavelet and Curvelet Transform based Image Fusion Algorithm

The prerequisite of more unblemished and realistic Images has contributed the significant development in the Image processing field. An image should encompass every fine aspect of scene, but practically it is impossible to do so due to optical limitations of Image acquiring devices. The solution to this kind of problem is provided by Image fusion Technique. Image fusion can be regarded as the process of merging of two or more images to get a synthetic image. Among the several techniques of image fusion, wavelet transform based algorithm is often practiced. The need for sparse representation and anisotropic way of image decomposition of image for detection of curvature entity, has led the concept of curvelet transform. In this paper, implementation of image fusion algorithm using wavelet and curvelet transform has been described and practical results are compared with several algorithms.