Regularization in super-resolution reconstruction of biomedical images using gradient vector field

Zhang, X
Lam, EY

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Publication date

January 2008

DOI

10.1109/ITAB.2008.4570612

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Abstract

The paper presents a method for regularization parameter in super-resolution reconstruction of biomedical images using the gradient vector field of a preliminary high resolution image. This works well in suppressing artifacts and excessive smoothing compared with Tikhonov regularization. Experiments of synthetic and real MRI images are presented to verify the performance of reconstruction. © 2008 IEEE.link_to_subscribed_fulltex

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Regularization in super-resolution reconstruction of biomedical images using gradient vector field

Abstract

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Regularization in super-resolution reconstruction of biomedical images using gradient vector field

Abstract

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