Restoration of Partial Blurred Image Based on Blur Detection and Classification
Joint Authors
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-13
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
A new restoration algorithm for partial blurred image which is based on blur detection and classification is proposed in this paper.
Firstly, a new blur detection algorithm is proposed to detect the blurred regions in the partial blurred image.
Then, a new blur classification algorithm is proposed to classify the blurred regions.
Once the blur class of the blurred regions is confirmed, the structure of the blur kernels of the blurred regions is confirmed.
Then, the blur kernel estimation methods are adopted to estimate the blur kernels.
In the end, the blurred regions are restored using nonblind image deblurring algorithm and replace the blurred regions in the partial blurred image with the restored regions.
The simulated experiment shows that the proposed algorithm performs well.
American Psychological Association (APA)
Yang, Dong& Qin, Shiyin. 2016. Restoration of Partial Blurred Image Based on Blur Detection and Classification. Journal of Electrical and Computer Engineering،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1108419
Modern Language Association (MLA)
Yang, Dong& Qin, Shiyin. Restoration of Partial Blurred Image Based on Blur Detection and Classification. Journal of Electrical and Computer Engineering No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1108419
American Medical Association (AMA)
Yang, Dong& Qin, Shiyin. Restoration of Partial Blurred Image Based on Blur Detection and Classification. Journal of Electrical and Computer Engineering. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1108419
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1108419