Efficient Image Fusion in Color Images Using Multiresolution Transform Techniques

Abstract: Image fusion is the process of integration of two or more source images into a single fused image. The resultant fused image is used to retain the important features of the source images. Color image fusion is the process of integrating one or more color images to enhance clarity of the image. The application of color image fusion simplifies object identification and helps in better cognition. In the existing system, image fusion is done on gray scale images by using the hybrid of Nonsubsampled Contourlet Transform (NSCT) and Stationary wavelet transform (SWT) techniques. In the proposed system, image fusion is done on color images by using the hybrid of Curvelet (CT) and Contourlet transform techniques. Curvelet and Contourlet transform techniques are multiscale-multidirectional decomposition techniques. The proposed hybrid technique called Serial Contourlet Aiding Curvelet Transform (SCAC) is applied on color images. From the experiments, it is shown that the proposed technique works better than the single multiresolution techniques in color images.

Keywords: Image fusion, Multiresolution Analysis, NSCT, Curvelet transform.