Super-resolution image reconstruction algorithm based on projection onto convex sets and wavelet fusion.
- Author:
Yuzhen CAO
1
;
Xiaoting LIU
;
Wei WANG
;
Zhanfeng XING
Author Information
1. College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, Tianjin 300072, China. yzcao@tju.edu.cn
- Publication Type:Journal Article
- MeSH:
Algorithms;
Artifacts;
Artificial Intelligence;
Humans;
Image Enhancement;
methods;
Image Processing, Computer-Assisted;
methods;
Tomography, X-Ray Computed
- From:
Journal of Biomedical Engineering
2009;26(5):947-952
- CountryChina
- Language:Chinese
-
Abstract:
In this paper a new super-resolution image reconstruction algorithm was proposed. With the improvement of the classical projection onto convex sets (POCS) algorithm, as ground work, and with the combined use of POCS and wavelet fusion, a high resolution CT image was restored by using a group of low resolution CT images. The experimental results showed: the proposed algorithm improves the ability of fusing different information, the detail of the image is more prominent, and the image quality is better.
