MR! super-resolution with two regularization parameters

• Published in: 2016 3rd International Conference on Systems and Informatics (ICSAI) pp. 901 - 905
• Main Authors: Ni Hao, Ruan Ruolin, Liu Fanghua, Wu Aixia
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.11.2016
• Subjects: Dictionaries; Image reconstruction; Image resolution; Magnetic resonance imaging; MRI; Prediction algorithms; sparse coding; Sparse matrices; super-resolution; Training; two regularization parameterss

The artifacts and noise in the recovered images by the regularization super-resolution (SR) algorithms based on sparse coding are obvious. A proposed SR algorithm for MRI images via two regularization parameters can improve the SR performance in this paper. With the hypothesis that the sparse coeffi...