Title :
Medical Image Super-resolution Analysis with Sparse Representation
Author :
Wang, Yun-Heng ; Li, Jun-Bao ; Fu, Ping
Author_Institution :
Dept. of Autom. Test & Control, Harbin Inst. of Technol., Harbin, China
Abstract :
In this paper, we propose a novel method for Super-Resolution Medical image based sparse representation, with the aim to solve the problem of MR image resolution owing to the limitations of hardware and acquisitions. With two coupled dictionaries the sparse representation of a low resolution medical image blocks is used to generate a high resolution. Some evaluations are implemented to compare with previous method, and the proposed algorithm has its advantage on super-resolution.
Keywords :
biomedical MRI; image representation; image resolution; medical image processing; MR image resolution; coupled dictionaries; low resolution medical image blocks; medical image super-resolution analysis; sparse representation; super-resolution medical image; Biomedical imaging; Dictionaries; Image reconstruction; Image resolution; Magnetic resonance imaging; Optimization; Signal resolution; medical image; sparese representation; super-resolution analysis;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2012 Eighth International Conference on
Conference_Location :
Piraeus
Print_ISBN :
978-1-4673-1741-2
DOI :
10.1109/IIH-MSP.2012.31
