Resolution Enhancement of Satellite Image Using DT-CWT and EPS

Nowadays satellite images are used in many applications such as astronomy, geographical information systems and geosciences studies. Due to low frequency nature of satellite images it may appear as blurred images. To increase the frequency of these images, image resolution enhancement techniques are used. In this paper we propose a novel satellite image resolution enhancement technique based on multi scale decomposition and Edge preserving smoothing. In the proposed resolution enhancement technique uses Dual Tree Complex Wavelet Transform (DT-CWT) to decompose an input low resolution satellite image into different subbands. Then, Interpolate this subband images and then to denoise and cater for the artifacts generated by DT-CWT (despite of its shift invariance and directional selective) by passing through an Edge preserving smoothing filter. The filtered high frequency subbands and the low resolution input image using Inverse DT-CWT is combined to reconstruct a resolution enhanced image. The quantitative (Peak signal to noise Ratio, Mean square Error and Image Quality index) visual results show the superiority of the proposed technique over the conventional resolution enhancement techniques.