Journal
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Volume 7, Issue 1, Pages 123-126Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2009.2028440
Keywords
Dual-tree complex wavelet transform (DT-CWT); resolution enhancement; satellite images
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In this letter, a satellite image resolution enhancement technique based on interpolation of the high-frequency sub-band images obtained by dual-tree complex wavelet transform (DT-CWT) is proposed. DT-CWT is used to decompose an input low-resolution satellite image into different subbands. Then, the high-frequency subband images and the input image are interpolated, followed by combining all these images to generate a new high-resolution image by using inverse DT-CWT. The resolution enhancement is achieved by using directional selectivity provided by the CWT, where the high-frequency subbands in six different directions contribute to the sharpness of the high-frequency details such as edges. The quantitative peak signal-to-noise ratio (PSNR) and visual results show the superiority of the proposed technique over the conventional bicubic interpolation, wavelet zero padding, and Irani and Peleg based image resolution enhancement techniques.
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