Discrete Wavelet Transform-based Satellite Image Resolution Enhancement Method

Now a day, Satellite images are being used in many fields of research in the world of the system. In this topic one of the main issues of these types of images is their resolution method. Here, we propose a new satellite image resolution enhancement technique based on the interpolation of the high-frequency sub bands obtained by discrete wavelet transform (DWT) and the input image of the system. In this, the proposed resolution enhancement technique uses DWT to divides the input image into different sub bands of the system. The high-frequency sub band images and the input low-resolution image have been interpolated followed by combining all these images to generate a new resolution-enhanced image by using inverse DWT in the system. To achieve a sharper image an intermediate stage for estimating the high-frequency sub bands has been proposed in this technique. So, the proposed technique has been tested on satellite benchmark images in this system. Finally, the quantitative and visual results show the superiority of the proposed technique over the conventional and state-of-art image resolution enhancement techniques.