Dual-tree complex wavelet transform and SVD based medical image resolution enhancement

• A scheme is proposed for medical image resolution enhancement.
• Singular value decomposition is used for contrast enhancement.
• Dual tree complex wavelet transform and non-local means for super resolution.
• Experiments demonstrate that the proposed scheme gives better resolution enhancement.

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.