HSV and Dual Tree Complex Wavelet Packet Transform based Image fusion for Satellite Images

Abstract

Image fusion is the process of integrating two or more images of a specific scene, captured from different sensors to form a single image that contains all the details of the source images. In satellite remote sensor images, this technique is used in the integration of the geometric detail of a high-resolution panchromatic (PAN) image and the spectral information of a low resolution multi -spectral (MS) image to form a single high resolution multispectral image. For satellite images, wavelet based fusion methods have shown to produce better results. The core objective of this paper is to introduce a new approach by using DualTreeComplex Wavelet Packet Transform (DT-CWPT) and HSV to fuse PAN image and MS image. The merits of using DT-CWPT over Discrete Wavelet Packet Transform (DWPT) and Dualtree Complex Wavelet Transform (DT-CWT) are briefed. Then DT-CWPT and its properties are explained and a new fusion method using DTCWPT and HSV is proposed. Finally evaluation of experimental results using various quality assessment metrics shows that the proposed method performs remarkably better than the other existing wavelet based fusion methods.