Normal Inverse Gaussian Model-Based Image Denoising in the NSCT Domain
Joint Authors
Jian, Jia
Zhang, Yongxin
Chen, Li
Zhao, Zhihua
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-24
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The objective of image denoising is to retain useful details while removing as much noise as possible to recover an original image from its noisy version.
This paper proposes a novel normal inverse Gaussian (NIG) model-based method that uses a Bayesian estimator to carry out image denoising in the nonsubsampled contourlet transform (NSCT) domain.
In the proposed method, the NIG model is first used to describe the distributions of the image transform coefficients of each subband in the NSCT domain.
Then, the corresponding threshold function is derived from the model using Bayesian maximum a posteriori probability estimation theory.
Finally, optimal linear interpolation thresholding algorithm (OLI-Shrink) is employed to guarantee a gentler thresholding effect.
The results of comparative experiments conducted indicate that the denoising performance of our proposed method in terms of peak signal-to-noise ratio is superior to that of several state-of-the-art methods, including BLS-GSM, K-SVD, BivShrink, and BM3D.
Further, the proposed method achieves structural similarity (SSIM) index values that are comparable to those of the block-matching 3D transformation (BM3D) method.
American Psychological Association (APA)
Jian, Jia& Zhang, Yongxin& Chen, Li& Zhao, Zhihua. 2015. Normal Inverse Gaussian Model-Based Image Denoising in the NSCT Domain. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1074893
Modern Language Association (MLA)
Jian, Jia…[et al.]. Normal Inverse Gaussian Model-Based Image Denoising in the NSCT Domain. Mathematical Problems in Engineering No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1074893
American Medical Association (AMA)
Jian, Jia& Zhang, Yongxin& Chen, Li& Zhao, Zhihua. Normal Inverse Gaussian Model-Based Image Denoising in the NSCT Domain. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1074893
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074893