An Effective Computational Ghost Imaging Based on Noise Estimation and Elimination
To improve the quality of ghost image, we propose an efficient computational ghost imaging method in this article. The primary idea is to estimate the noise value of the ghost image by analyzing and eliminating the source of the noise. The innovativeness of this work lies in analyzing a new means of...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9205401/ |
| _version_ | 1819172929267564544 |
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| author | Xiaoxia Wang Jiangtao Xi Fengbao Yang |
| author_facet | Xiaoxia Wang Jiangtao Xi Fengbao Yang |
| author_sort | Xiaoxia Wang |
| collection | DOAJ |
| description | To improve the quality of ghost image, we propose an efficient computational ghost imaging method in this article. The primary idea is to estimate the noise value of the ghost image by analyzing and eliminating the source of the noise. The innovativeness of this work lies in analyzing a new means of noise by dissecting the qualitative relationship between transmittance in different objects and speckle patterns. While using a scale factor to describe the change of transmittance at different points of the object. The simulation and experimental results prove the effectiveness and feasibility of the proposed method through two parallel experiments. Compared to other methods, the peak signal-to-noise ratio and contrasts both have significantly increased. |
| first_indexed | 2024-12-22T20:14:59Z |
| format | Article |
| id | doaj.art-512a453a39454ee9b8a1a8c5831dcf8e |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T20:14:59Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-512a453a39454ee9b8a1a8c5831dcf8e2022-12-21T18:13:59ZengIEEEIEEE Access2169-35362020-01-01817551317552010.1109/ACCESS.2020.30264889205401An Effective Computational Ghost Imaging Based on Noise Estimation and EliminationXiaoxia Wang0https://orcid.org/0000-0001-6639-002XJiangtao Xi1Fengbao Yang2School of Information and Communication Engineering, North University of China, Taiyuan, ChinaSchool of Information and Communication Engineering, North University of China, Taiyuan, ChinaSchool of Information and Communication Engineering, North University of China, Taiyuan, ChinaTo improve the quality of ghost image, we propose an efficient computational ghost imaging method in this article. The primary idea is to estimate the noise value of the ghost image by analyzing and eliminating the source of the noise. The innovativeness of this work lies in analyzing a new means of noise by dissecting the qualitative relationship between transmittance in different objects and speckle patterns. While using a scale factor to describe the change of transmittance at different points of the object. The simulation and experimental results prove the effectiveness and feasibility of the proposed method through two parallel experiments. Compared to other methods, the peak signal-to-noise ratio and contrasts both have significantly increased.https://ieeexplore.ieee.org/document/9205401/Computational ghost imagingspeckle patternsource of the noisepeak signal-to-noise ratiocontrast |
| spellingShingle | Xiaoxia Wang Jiangtao Xi Fengbao Yang An Effective Computational Ghost Imaging Based on Noise Estimation and Elimination IEEE Access Computational ghost imaging speckle pattern source of the noise peak signal-to-noise ratio contrast |
| title | An Effective Computational Ghost Imaging Based on Noise Estimation and Elimination |
| title_full | An Effective Computational Ghost Imaging Based on Noise Estimation and Elimination |
| title_fullStr | An Effective Computational Ghost Imaging Based on Noise Estimation and Elimination |
| title_full_unstemmed | An Effective Computational Ghost Imaging Based on Noise Estimation and Elimination |
| title_short | An Effective Computational Ghost Imaging Based on Noise Estimation and Elimination |
| title_sort | effective computational ghost imaging based on noise estimation and elimination |
| topic | Computational ghost imaging speckle pattern source of the noise peak signal-to-noise ratio contrast |
| url | https://ieeexplore.ieee.org/document/9205401/ |
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