Satellite Image Resolution Enhancement using DWT Technique
O. Harikrishna1, A. Maheshwari2
1O. Harikrishna, (M. Tech) Sktrmce, Kondair, Andhra Pradesh, India.
2A. Maheshwari, M. Tech Asst. Professor In Ece, Dept, Sktrmce, Kondair, A.P. , India.
Manuscript received on November 01, 2012. | Revised Manuscript received on November 03, 2012. | Manuscript published on November 05, 2012. | PP: 274-278 | Volume-2 Issue-5, November 2012. | Retrieval Number: E1062102512/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Satellite images are used in many applications such as geosciences studies, astronomy, and geographical information systems. One of the most important quality factors in images comes from its resolution. Interpolation in image processing is a well-known method to increase the resolution of a digital image. Interpolation has been widely used in many image-processing applications such as facial reconstruction, multiple-description coding, and resolution enhancement. In this project, 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. The proposed resolution enhancement technique uses DWT to decompose the input image into different subbands. Then, the high-frequency subband 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.
Keywords: Discrete wavelet transform (DWT), interpolation, satellite image resolution enhancement, wavelet zero padding.(keywords)