Title :
Image Resolution Enhancement Using Dual-Tree Complex Wavelet Transform
Author :
Celik, Turgay ; Tjahjadi, Tardi
Author_Institution :
Sch. of Eng., Univ. of Warwick, Coventry, UK
fDate :
7/1/2010 12:00:00 AM
Abstract :
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.
Keywords :
discrete wavelet transforms; image enhancement; image resolution; DT-CWT decomposition; HR QuickBird data; HR image rough estimation; complex wavelet-domain image resolution enhancement algorithm; discrete wavelet transform; forward complex wavelet transform; high-resolution image construction; inverse dual-tree complex wavelet transform; low-resolution image; wavelet coefficient estimation; Discrete wavelet transform (DWT); dual-tree complex wavelet transform (DT-CWT); image interpolation; image resolution enhancement; satellite image; super-resolution;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2010.2041324