Analysis of Satellite Images Using Discrete Wavelet Transform for Better Psnr Value

Satellite images are being used in numerous fields of aspects. The major controversy of various types of images is their resolution. In this paper, proposed a new satellite image resolution enhancement technique based on the interpolation of the high frequency sub bands obtained by discrete wavelet transform and the input image. The proposed declaration intensification technique uses DWT to decompose the input image into various bands. Then, the higher frequencies band images and the input low resolution image have been interjaculate; proceed by interconnecting all these images to generate a new resolution enhanced image by using inverse DWT. In order to achieve a masquerader image, a transitional stage for reckoning the high frequency sub bands has been proposed. The prospective approach has been proved on satellite benchmark images. The quantitative (peak signaltonoise ratio and root mean square error) and the visual results show the superiority of the proposed technique over the conventional and state-of-art image resolution enhancement techniques.