抽象的

A New Approach for Image Fusion Based On Fast Discrete Curvelet Transform

Dr. P. V. Naganjaneyulu

In recent years, image fusion is one of important prime method in image processing. Image fusion deals with creating an image in which all the objects are in focus. Thus it plays an important role to perform other tasks of image processing such as image segmentation, edge detection, stereo matching and image enhancement. To perform all these tasks several methods has been proposed. In this paper it is compared existing neural network based method with advanced discrete curve let method. In the result it is shown that the proposed method better than existing method.