Robust Multiple Reblurred-Based CT Image Enhancement
Ruihua Liu, Yijie Chen, Jian wei
Journal of Advances in Mathematics and Computer Science · pp. 302–309 · Published 4 Nov 2014
10.9734/BJMCS/2015/13749Abstract
In this paper, we present a new algorithm for solving the blind deconvolution problem. In our method, we reblur a given degraded CT image with R different, but known PSFs, and get R different degraded CT images. Then we blindly deblur using the R new degraded CT images. Also, we introduce Bilateral Total Variation regularization term. In computer simulations in Matlab, it is the most advantages of our proposed algorithm that it performs more effectively than M. Jiang’s ENR method.
References (10)
- 1 Bilateral filtering for gray and color images [DOI]
- 2 Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images [DOI]
- 3 A regularization approach to joint blur identification and image restoration [DOI]
- 4 Two motion-blurred images are better than one [DOI]
- 5 Blind image restoration by anisotropic regularization [DOI]
- 6 Spiral CT image deblurring for cochlear implantation [DOI]
- 7 Development of blind image deconvolution and its applications [DOI]
- 8 Moment domain representation of nonblind image deblurring [DOI]
- 9 Blind deblurring of spiral CT images Based on ENR and Wiener filter [DOI]
- 10 Image Deconvolution by Means of Frequency Blur Invariant Concept [DOI]
Cited by 0
No indexed citations yet.
Related research
- Image Enhancement Methods: A Review — shares topic coverage
- Multi-feature Learning Adaptive Network for Underwater Image Enhancement — shares topic coverage
- Real-time Comparison of Performance Analysis of Various Edge Detection Techniques Based on Imagery Data — shares topic coverage
Article metrics
Real usage data collected on this platform.
3
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.