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A Bidirectional Flow Joint Sobolev Gradient for Image Interpolation
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-25
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
An energy functional with bidirectional flow is presented to sharpen image by reducing its edge width, which performs a forward diffusion in brighter lateral on edge ramp and backward diffusion that proceeds in darker lateral.
We first consider the diffusion equations as L2 gradient flows on integral functionals and then modify the inner product from L2 to a Sobolev inner product.
The experimental results demonstrate that our model efficiently reconstructs the real image, leading to a natural interpolation with reduced blurring, staircase artifacts and preserving better the texture features of image.
American Psychological Association (APA)
Zhan, Yi& Li, Sheng Jie& Li, Meng. 2013. A Bidirectional Flow Joint Sobolev Gradient for Image Interpolation. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1009880
Modern Language Association (MLA)
Zhan, Yi…[et al.]. A Bidirectional Flow Joint Sobolev Gradient for Image Interpolation. Mathematical Problems in Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1009880
American Medical Association (AMA)
Zhan, Yi& Li, Sheng Jie& Li, Meng. A Bidirectional Flow Joint Sobolev Gradient for Image Interpolation. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1009880
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1009880