Salt and Pepper Noise Removal with Noise Detection and a Patch-Based Sparse Representation
Joint Authors
Guo, Di
Wu, Keshou
Qu, Xiaobo
Du, Xiaofeng
Chen, Xuhui
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-13
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
Images may be corrupted by salt and pepper impulse noise due to noisy sensors or channel transmission errors.
A denoising method by detecting noise candidates and enforcing image sparsity with a patch-based sparse representation is proposed.
First, noise candidates are detected and an initial guide image is obtained via an adaptive median filtering; second, a patch-based sparse representation is learnt from this guide image; third, a weighted l1-l1 regularization method is proposed to penalize the noise candidates heavier than the rest of pixels.
An alternating direction minimization algorithm is derived to solve the regularization model.
Experiments are conducted for 30%∼90% impulse noise levels, and the simulation results demonstrate that the proposed method outperforms total variation and Wavelet in terms of preserving edges and structural similarity to the noise-free images.
American Psychological Association (APA)
Guo, Di& Qu, Xiaobo& Du, Xiaofeng& Wu, Keshou& Chen, Xuhui. 2014. Salt and Pepper Noise Removal with Noise Detection and a Patch-Based Sparse Representation. Advances in Multimedia،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-490188
Modern Language Association (MLA)
Guo, Di…[et al.]. Salt and Pepper Noise Removal with Noise Detection and a Patch-Based Sparse Representation. Advances in Multimedia No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-490188
American Medical Association (AMA)
Guo, Di& Qu, Xiaobo& Du, Xiaofeng& Wu, Keshou& Chen, Xuhui. Salt and Pepper Noise Removal with Noise Detection and a Patch-Based Sparse Representation. Advances in Multimedia. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-490188
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-490188