Salt and Pepper Noise Removal with Noise Detection and a Patch-Based Sparse Representation
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...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2014/682747 |
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| _version_ | 1832551635780370432 |
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| author | Di Guo Xiaobo Qu Xiaofeng Du Keshou Wu Xuhui Chen |
| author_facet | Di Guo Xiaobo Qu Xiaofeng Du Keshou Wu Xuhui Chen |
| author_sort | Di Guo |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-d6037a4ecb384b8b92f4a1b864853b14 |
| institution | Kabale University |
| issn | 1687-5680 1687-5699 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-d6037a4ecb384b8b92f4a1b864853b142025-02-03T06:00:58ZengWileyAdvances in Multimedia1687-56801687-56992014-01-01201410.1155/2014/682747682747Salt and Pepper Noise Removal with Noise Detection and a Patch-Based Sparse RepresentationDi Guo0Xiaobo Qu1Xiaofeng Du2Keshou Wu3Xuhui Chen4School of Computer and Information Engineering, Fujian Provincial University Key Laboratory of Internet of Things Application Technology, Xiamen University of Technology, Xiamen 361024, ChinaDepartment of Electronic Science, Xiamen University, Xiamen 361005, ChinaSchool of Computer and Information Engineering, Fujian Provincial University Key Laboratory of Internet of Things Application Technology, Xiamen University of Technology, Xiamen 361024, ChinaSchool of Computer and Information Engineering, Fujian Provincial University Key Laboratory of Internet of Things Application Technology, Xiamen University of Technology, Xiamen 361024, ChinaSchool of Computer and Information Engineering, Fujian Provincial University Key Laboratory of Internet of Things Application Technology, Xiamen University of Technology, Xiamen 361024, ChinaImages 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.http://dx.doi.org/10.1155/2014/682747 |
| spellingShingle | Di Guo Xiaobo Qu Xiaofeng Du Keshou Wu Xuhui Chen Salt and Pepper Noise Removal with Noise Detection and a Patch-Based Sparse Representation Advances in Multimedia |
| title | Salt and Pepper Noise Removal with Noise Detection and a Patch-Based Sparse Representation |
| title_full | Salt and Pepper Noise Removal with Noise Detection and a Patch-Based Sparse Representation |
| title_fullStr | Salt and Pepper Noise Removal with Noise Detection and a Patch-Based Sparse Representation |
| title_full_unstemmed | Salt and Pepper Noise Removal with Noise Detection and a Patch-Based Sparse Representation |
| title_short | Salt and Pepper Noise Removal with Noise Detection and a Patch-Based Sparse Representation |
| title_sort | salt and pepper noise removal with noise detection and a patch based sparse representation |
| url | http://dx.doi.org/10.1155/2014/682747 |
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