Published Paper Details:

In this paper an image resolution enhancement technique which generates sharper high resolution image is proposed. The proposed technique uses DWT to decompose a low resolution image into different sub-bands. Then the three high frequency sub-band images have been interpolated using bi-cubic interpolation. The high frequency sub-bands obtained by SWT of the input image are being incremented into the interpolated high frequency sub-bands in order to correct the estimated coefficients. In parallel, the input image is also interpolated separately. Finally, corrected interpolated high frequency sub-bands and interpolated input image are combined by using inverse DWT (IDWT) to achieve a high resolution output image. The proposed technique has been compared with conventional and standard interpolation techniques, wavelet zero padding (WZP), where the unknown coefficients in high-frequency sub bands are replaced with zeros, state-of-art techniques. The performance of the proposed technique over performs all available state-of-art methods for image resolution enhancement. In all steps of the proposed satellite image resolution enhancement technique, Daubechies wavelet transform as mother wavelet function and bi-cubic interpolation as interpolation technique have been used.