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MIMI
2007
Springer

Application of Tikhonov Regularization to Super-Resolution Reconstruction of Brain MRI Images

11 years 7 months ago
Application of Tikhonov Regularization to Super-Resolution Reconstruction of Brain MRI Images
This paper presents an image super-resolution method that enhances spatial resolution of MRI images in the slice-select direction. The algorithm employs Tikhonov regularization, using a standard model of imaging process and reformulating the reconstruction as a regularized minimization task. Our experimental result shows improvements in both signal-to-noise ratio and visual quality.
Xin Zhang, Edmund Y. Lam, Ed X. Wu, Kenneth K. Y.
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where MIMI
Authors Xin Zhang, Edmund Y. Lam, Ed X. Wu, Kenneth K. Y. Wong
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