Journal
SIGNAL PROCESSING
Volume 105, Issue -, Pages 430-437Publisher
ELSEVIER
DOI: 10.1016/j.sigpro.2014.05.011
Keywords
Resolution enhancement; Dual-tree complex wavelet transform; Lanczos interpolation; Contrast enhancement
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Dual-tree complex wavelet transform, non-local means filter and singular value decomposition based medical image resolution enhancement is proposed. Contrast of the input image is enhanced using proposed singular value decomposition and high frequency subbands are obtained using dual-tree complex wavelet transform. The contrast enhanced low resolution image and high frequency subbands are interpolated using Lanczos interpolator. Non-local means filter is used to cater the artifacts produced by dual-tree complex wavelet transform. Interpolated contrast enhanced low resolution image and filtered high frequency subbands are combined using inverse dual-tree complex wavelet transform to obtain contrast enhanced super resolution image. Quantitative and qualitative analysis is used to justify the significance of the proposed technique. (c) 2014 Elsevier B.V. All rights reserved.
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