Title :
Regularization in super-resolution reconstruction of biomedical images using gradient vector field
Author :
Zhang, Xin ; Lam, Edmund Y.
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong
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.
Keywords :
biomedical MRI; image reconstruction; image resolution; medical image processing; smoothing methods; MRI images; Tikhonov regularization; artifact suppression; biomedical images; gradient vector field; regularization parameter; smoothing method; superresolution reconstruction; Biomedical engineering; Biomedical imaging; Image reconstruction; Image resolution; Information technology; Magnetic resonance imaging; Optical imaging; Smoothing methods; Spatial resolution; Ultrasonic imaging;
Conference_Titel :
Information Technology and Applications in Biomedicine, 2008. ITAB 2008. International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-2254-8
Electronic_ISBN :
978-1-4244-2255-5
DOI :
10.1109/ITAB.2008.4570612
