Survey on Image Fusion Using Combination of Wavelet And Curvelet Fusion
Image Fusion is the process in which several images of the same scene are taken through sensors and information are combined from these images.in orders to achieve the best fused image which contains the best information coming from the source images. Image fusion requires that images be registered first before they are fused. Image Fusion makes it a lot of advantages on remote sensing, medicine, computer vision, military target detection and identification that it has overcome the blind spot in many fields of science and technical difficulties. Wavelet transform has an impressive reputation as a tool for image processing in image denoising and image fusion application. In the necessary of anisotropic transform, a multiresolution geometric analysis, named curvelet transform was proposed. Being the extention of wavelet, it did make a impressive performance in image denoisingThe Curvelet transform is suited for objects which are smooth away from discontinuities cross curves. The idea of current research is to show the improvement in image processing parameters for image fusion application using curvelet transform and compareit with the wavelet and PCA method.