Multichannel reconstruction from nonuniform samples with application to image recovery
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2018
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| _version_ | 1866912161427619840 |
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| author | Cheng, Dong Kou, Kit Ian |
| author_facet | Cheng, Dong Kou, Kit Ian |
| contents | The multichannel trigonometric reconstruction from uniform samples was proposed recently. It not only makes use of multichannel information about the signal but is also capable to generate various kinds of interpolation formulas according to the types and amounts of the collected samples. The paper presents the theory of multichannel interpolation from nonuniform samples. Two distinct models of nonuniform sampling patterns are considered, namely recurrent and generic nonuniform sampling. Each model involves two types of samples: nonuniform samples of the observed signal and its derivatives. Numerical examples and quantitative error analysis are provided to demonstrate the effectiveness of the proposed algorithms. Additionally, the proposed algorithm for recovering highly corrupted images is also investigated. In comparison with the median filter and correction operation treatment, our approach produces superior results with lower errors. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1901_01102 |
| institution | arXiv |
| publishDate | 2018 |
| record_format | arxiv |
| spellingShingle | Multichannel reconstruction from nonuniform samples with application to image recovery Cheng, Dong Kou, Kit Ian Classical Analysis and ODEs Numerical Analysis Image and Video Processing 42A15, 94A12, 65T50, 94A08 The multichannel trigonometric reconstruction from uniform samples was proposed recently. It not only makes use of multichannel information about the signal but is also capable to generate various kinds of interpolation formulas according to the types and amounts of the collected samples. The paper presents the theory of multichannel interpolation from nonuniform samples. Two distinct models of nonuniform sampling patterns are considered, namely recurrent and generic nonuniform sampling. Each model involves two types of samples: nonuniform samples of the observed signal and its derivatives. Numerical examples and quantitative error analysis are provided to demonstrate the effectiveness of the proposed algorithms. Additionally, the proposed algorithm for recovering highly corrupted images is also investigated. In comparison with the median filter and correction operation treatment, our approach produces superior results with lower errors. |
| title | Multichannel reconstruction from nonuniform samples with application to image recovery |
| topic | Classical Analysis and ODEs Numerical Analysis Image and Video Processing 42A15, 94A12, 65T50, 94A08 |
| url | https://arxiv.org/abs/1901.01102 |