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An Efficient Universal Noise Removal Algorithm Combining Spatial Gradient and Impulse Statistic
Joint Authors
Chen, Shuhan
Zhang, Wenjie
Shi, Weiren
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-25
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
We propose a novel universal noise removal algorithm by combining spatial gradient and a new impulse statistic into the trilateral filter.
By introducing a reference image, an impulse statistic is proposed, which is called directional absolute relative differences (DARD) statistic.
Operation was carried out in two stages: getting reference image and image denoising.
For denoising, we introduce the spatial gradient into the Gaussian filtering framework for Gaussian noise removal and integrate our DARD statistic for impulse noise removal, and finally we combine them together to create a new trilateral filter for mixed noise removal.
Simulation results show that our noise detector has a high classification rate, especially for salt-and-pepper noise.
And the proposed approach achieves great results both in terms of quantitative measures of signal restoration and qualitative judgments of image quality.
In addition, the computational complexity of the proposed method is less than that of many other mixed noise filters.
American Psychological Association (APA)
Chen, Shuhan& Shi, Weiren& Zhang, Wenjie. 2013. An Efficient Universal Noise Removal Algorithm Combining Spatial Gradient and Impulse Statistic. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1031917
Modern Language Association (MLA)
Chen, Shuhan…[et al.]. An Efficient Universal Noise Removal Algorithm Combining Spatial Gradient and Impulse Statistic. Mathematical Problems in Engineering No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-1031917
American Medical Association (AMA)
Chen, Shuhan& Shi, Weiren& Zhang, Wenjie. An Efficient Universal Noise Removal Algorithm Combining Spatial Gradient and Impulse Statistic. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1031917
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031917