![](/images/graphics-bg.png)
Neural Network Blind Equalization Algorithm Applied in Medical CT Image Restoration
Joint Authors
Sun, Yunshan
Zhang, Liyi
Zhang, Jin
Shi, Lijuan
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-19
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
A new algorithm for iterative blind image restoration is presented in this paper.
The method extends blind equalization found in the signal case to the image.
A neural network blind equalization algorithm is derived and used in conjunction with Zigzag coding to restore the original image.
As a result, the effect of PSF can be removed by using the proposed algorithm, which contributes to eliminate intersymbol interference (ISI).
In order to obtain the estimation of the original image, what is proposed in this method is to optimize constant modulus blind equalization cost function applied to grayscale CT image by using conjugate gradient method.
Analysis of convergence performance of the algorithm verifies the feasibility of this method theoretically; meanwhile, simulation results and performance evaluations of recent image quality metrics are provided to assess the effectiveness of the proposed method.
American Psychological Association (APA)
Sun, Yunshan& Zhang, Liyi& Zhang, Jin& Shi, Lijuan. 2013. Neural Network Blind Equalization Algorithm Applied in Medical CT Image Restoration. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1010572
Modern Language Association (MLA)
Sun, Yunshan…[et al.]. Neural Network Blind Equalization Algorithm Applied in Medical CT Image Restoration. Mathematical Problems in Engineering No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1010572
American Medical Association (AMA)
Sun, Yunshan& Zhang, Liyi& Zhang, Jin& Shi, Lijuan. Neural Network Blind Equalization Algorithm Applied in Medical CT Image Restoration. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1010572
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010572