IMAGE ENHANCEMENT BASED ON DISCRETE WAVELET TRANSFORM

In this paper, 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 is proposed. The projected resolution improvement technique uses DWT to decay the input image into different sub bands. Then, 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 order to achieve a sharper image, an intermediate stage for estimating the high frequency sub bands has been proposed. The proposed technique has been tested on satellite benchmark images. The quantitative (peak signal to noise ratio and root mean square error) and visual results show the superiority of the proposed technique over the conventional and state of art image resolution enhancement techniques.