Noise Impact Analysis in Computer-Generated Holography Based on Dual Metrics Evaluation via Peak Signal-to-Noise Ratio and Structural Similarity Index Measure
This study investigates the noise impact on reconstructed images in computer-generated holography (CGH) through theoretical analysis and Matlab 2015b simulations. By quantitatively injecting noise to mimic practical interference environments, we systematically analyze the degradation mechanisms of f...
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| Format: | Article |
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MDPI AG
2025-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/11/6047 |
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| author | Yucheng Li Yang Zhang Deyu Jia Song Gao Muqun Zhang |
| author_facet | Yucheng Li Yang Zhang Deyu Jia Song Gao Muqun Zhang |
| author_sort | Yucheng Li |
| collection | DOAJ |
| description | This study investigates the noise impact on reconstructed images in computer-generated holography (CGH) through theoretical analysis and Matlab 2015b simulations. By quantitatively injecting noise to mimic practical interference environments, we systematically analyze the degradation mechanisms of four CGH types: detour-phase, modified off-axis beam reference, kinoform, and interference type. A dual-metric evaluation framework combining peak signal-to-noise ratio (PSNR) and the Structural Similarity Index Measure (SSIM) is proposed. Results demonstrate that increasing noise intensity induces progressive declines in reconstruction quality, manifested as PSNR reduction and SSIM-based structural fidelity loss. The findings provide theoretical guidance for noise suppression, parameter optimization, and algorithm selection in CGH systems, advancing its applications in optical encryption and high-precision imaging. |
| format | Article |
| id | doaj-art-2f1ea444c7f4492883d6cab65523fec0 |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-2f1ea444c7f4492883d6cab65523fec02025-08-20T02:33:01ZengMDPI AGApplied Sciences2076-34172025-05-011511604710.3390/app15116047Noise Impact Analysis in Computer-Generated Holography Based on Dual Metrics Evaluation via Peak Signal-to-Noise Ratio and Structural Similarity Index MeasureYucheng Li0Yang Zhang1Deyu Jia2Song Gao3Muqun Zhang4Department of Avionics Engineering, Aviation Maintenance NCO Academy, Air Force Engineering University, Xinyang 464000, ChinaDepartment of Avionics Engineering, Aviation Maintenance NCO Academy, Air Force Engineering University, Xinyang 464000, ChinaDepartment of Avionics Engineering, Aviation Maintenance NCO Academy, Air Force Engineering University, Xinyang 464000, ChinaDepartment of Avionics Engineering, Aviation Maintenance NCO Academy, Air Force Engineering University, Xinyang 464000, ChinaDepartment of Avionics Engineering, Aviation Maintenance NCO Academy, Air Force Engineering University, Xinyang 464000, ChinaThis study investigates the noise impact on reconstructed images in computer-generated holography (CGH) through theoretical analysis and Matlab 2015b simulations. By quantitatively injecting noise to mimic practical interference environments, we systematically analyze the degradation mechanisms of four CGH types: detour-phase, modified off-axis beam reference, kinoform, and interference type. A dual-metric evaluation framework combining peak signal-to-noise ratio (PSNR) and the Structural Similarity Index Measure (SSIM) is proposed. Results demonstrate that increasing noise intensity induces progressive declines in reconstruction quality, manifested as PSNR reduction and SSIM-based structural fidelity loss. The findings provide theoretical guidance for noise suppression, parameter optimization, and algorithm selection in CGH systems, advancing its applications in optical encryption and high-precision imaging.https://www.mdpi.com/2076-3417/15/11/6047computer-generated holography (CGH)noise robustnessimage quality assessmentMatlab simulationstructural similarity index measure (SSIM) |
| spellingShingle | Yucheng Li Yang Zhang Deyu Jia Song Gao Muqun Zhang Noise Impact Analysis in Computer-Generated Holography Based on Dual Metrics Evaluation via Peak Signal-to-Noise Ratio and Structural Similarity Index Measure Applied Sciences computer-generated holography (CGH) noise robustness image quality assessment Matlab simulation structural similarity index measure (SSIM) |
| title | Noise Impact Analysis in Computer-Generated Holography Based on Dual Metrics Evaluation via Peak Signal-to-Noise Ratio and Structural Similarity Index Measure |
| title_full | Noise Impact Analysis in Computer-Generated Holography Based on Dual Metrics Evaluation via Peak Signal-to-Noise Ratio and Structural Similarity Index Measure |
| title_fullStr | Noise Impact Analysis in Computer-Generated Holography Based on Dual Metrics Evaluation via Peak Signal-to-Noise Ratio and Structural Similarity Index Measure |
| title_full_unstemmed | Noise Impact Analysis in Computer-Generated Holography Based on Dual Metrics Evaluation via Peak Signal-to-Noise Ratio and Structural Similarity Index Measure |
| title_short | Noise Impact Analysis in Computer-Generated Holography Based on Dual Metrics Evaluation via Peak Signal-to-Noise Ratio and Structural Similarity Index Measure |
| title_sort | noise impact analysis in computer generated holography based on dual metrics evaluation via peak signal to noise ratio and structural similarity index measure |
| topic | computer-generated holography (CGH) noise robustness image quality assessment Matlab simulation structural similarity index measure (SSIM) |
| url | https://www.mdpi.com/2076-3417/15/11/6047 |
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