A DMD-Based Adaptive Modulation Method for High Dynamic Range Imaging in High-Glare Environments
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arXiv
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| Format: | Preprint |
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2026
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| author | Guan, Banglei Tao, Jing Xu, Liang Tan, Dongcai Sun, Pengju Liu, Jianbing Shang, Yang Yu, Qifeng |
| author_facet | Guan, Banglei Tao, Jing Xu, Liang Tan, Dongcai Sun, Pengju Liu, Jianbing Shang, Yang Yu, Qifeng |
| contents | Background The accuracy of photomechanics measurements critically relies on image quality,particularly under extreme illumination conditions such as welding arc monitoring and polished metallic surface analysis. High dynamic range (HDR) imaging above 120 dB is essential in these contexts. Conventional CCD/CMOS sensors, with dynamic ranges typically below 70 dB, are highly susceptible to saturation under glare, resulting in irreversible loss of detail and significant errors in digital image correlation (DIC). Methods This paper presents an HDR imaging system that leverages the spatial modulation capability of a digital micromirror device (DMD). The system architecture enables autonomous regional segmentation and adaptive exposure control for high-dynamic-range scenes through an integrated framework comprising two synergistic subsystems: a DMD-based optical modulation unit and an adaptive computational imaging pipeline. Results The system achieves a measurable dynamic range of 127 dB, effectively eliminating satu ration artifacts under high glare. Experimental results demonstrate a 78% reduction in strain error and improved DIC positioning accuracy, confirming reliable performance across extreme intensity variations. Conclusion The DMD-based system provides high fidelity adaptive HDR imaging, overcoming key limitations of conventional sensors. It exhibits strong potential for optical metrology and stress analysis in high-glare environments where traditional methods are inadequate. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_12044 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | A DMD-Based Adaptive Modulation Method for High Dynamic Range Imaging in High-Glare Environments Guan, Banglei Tao, Jing Xu, Liang Tan, Dongcai Sun, Pengju Liu, Jianbing Shang, Yang Yu, Qifeng Computer Vision and Pattern Recognition Background The accuracy of photomechanics measurements critically relies on image quality,particularly under extreme illumination conditions such as welding arc monitoring and polished metallic surface analysis. High dynamic range (HDR) imaging above 120 dB is essential in these contexts. Conventional CCD/CMOS sensors, with dynamic ranges typically below 70 dB, are highly susceptible to saturation under glare, resulting in irreversible loss of detail and significant errors in digital image correlation (DIC). Methods This paper presents an HDR imaging system that leverages the spatial modulation capability of a digital micromirror device (DMD). The system architecture enables autonomous regional segmentation and adaptive exposure control for high-dynamic-range scenes through an integrated framework comprising two synergistic subsystems: a DMD-based optical modulation unit and an adaptive computational imaging pipeline. Results The system achieves a measurable dynamic range of 127 dB, effectively eliminating satu ration artifacts under high glare. Experimental results demonstrate a 78% reduction in strain error and improved DIC positioning accuracy, confirming reliable performance across extreme intensity variations. Conclusion The DMD-based system provides high fidelity adaptive HDR imaging, overcoming key limitations of conventional sensors. It exhibits strong potential for optical metrology and stress analysis in high-glare environments where traditional methods are inadequate. |
| title | A DMD-Based Adaptive Modulation Method for High Dynamic Range Imaging in High-Glare Environments |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2602.12044 |