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Image Resolution Enhancement Using Dual-Tree Complex Wavelet Transform

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2 Author(s)
Turgay Celik ; School of Engineering, University of Warwick, Coventry, U.K. ; Tardi Tjahjadi

In this letter, a complex wavelet-domain image resolution enhancement algorithm based on the estimation of wavelet coefficients is proposed. The method uses a forward and inverse dual-tree complex wavelet transform (DT-CWT) to construct a high-resolution (HR) image from the given low-resolution (LR) image. The HR image is reconstructed from the LR image, together with a set of wavelet coefficients, using the inverse DT-CWT. The set of wavelet coefficients is estimated from the DT-CWT decomposition of the rough estimation of the HR image. Results are presented and discussed on very HR QuickBird data, through comparisons between state-of-the-art resolution enhancement methods.

Published in:

IEEE Geoscience and Remote Sensing Letters  (Volume:7 ,  Issue: 3 )