An effective method for satellite image enhancement

In the field of image processing, Satellite imaging is one of the challenging tasks for the researchers. The different satellite sensors are available in the very low resolution to high resolution range for data collection. In this paper, a satellite image enhancement algorithm based on interpolation of the high-frequency subbands obtained by discrete wavelet transform (DWT) and the low resolution input image is proposed. This method uses a DWT and high frequency subband image interpolation into the low resolution input images. The sharpness of image is obtained by the estimation high frequency subband. Inverse DWT is performed to reconstruct the resultant image. The visual and mathematical results are presented and discussed on LANDSAT 8 data with comparison of proposed method over conventional and state of art resolution enhancement methods.