| Title | Blind deblurring of spiral CT images Based on ENR and Wiener filter |
| Authors | Wang, Jing Wang, Ge Jiang, Ming |
| Affiliation | Peking Univ, Sch Math, LMAM, Beijing 100871, Peoples R China. Univ Iowa, Dept Radiol, CT Micro Ct Lab, Iowa City, IA 52242 USA. Peking Univ, Sch Math, Dept Informat Sci, 5 Summer Palace St, Beijing 100871, Peoples R China. |
| Issue Date | 2005 |
| Publisher | journal of x ray science and technology |
| Citation | JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY.2005,13,(1),49-60. |
| Abstract | In previous studies, we developed a blind deblurring algorithm based on the edge-to-noise ratio (ENR) and EM algorithm to improve the quality of spiral CT images. In this work, we apply the Wiener filter in place of the EM algorithm to improve the timing performance. The algorithm works well in patient studies. After fully automatic blind deblurring, the conspicuity of the submillimeter features of the cochlea image is substantially improved. The new ENR-Wiener blind deblurring approach significantly improves the computation speed with comparable image quality in previous studies. |
| URI | http://hdl.handle.net/20.500.11897/399737 |
| ISSN | 0895-3996 |
| Indexed | SCI(E) EI |
| Appears in Collections: | 数学科学学院 数学及其应用教育部重点实验室 |
