Image Denoising Using Total Variation Model Guided by Steerable Filter
Joint Authors
Zhang, Wenxue
Wang, Yuanquan
Cao, Yongzhen
Zhang, Rong Xin
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-05
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
We propose an adaptive total variation (TV) model by introducing the steerable filter into the TV-based diffusion process for image filtering.
The local energy measured by the steerable filter can effectively characterize the object edges and ramp regions and guide the TV-based diffusion process so that the new model behaves like the TV model at edges and leads to linear diffusion in flat and ramp regions.
This way, the proposed model can provide a better image processing tool which enables noise removal, edge-preserving, and staircase suppression.
American Psychological Association (APA)
Zhang, Wenxue& Cao, Yongzhen& Zhang, Rong Xin& Wang, Yuanquan. 2014. Image Denoising Using Total Variation Model Guided by Steerable Filter. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-471038
Modern Language Association (MLA)
Zhang, Wenxue…[et al.]. Image Denoising Using Total Variation Model Guided by Steerable Filter. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-471038
American Medical Association (AMA)
Zhang, Wenxue& Cao, Yongzhen& Zhang, Rong Xin& Wang, Yuanquan. Image Denoising Using Total Variation Model Guided by Steerable Filter. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-471038
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-471038