用数字微镜器件动态调制光照，实现127分贝高动态成像。
A DMD-Based Adaptive Modulation Method for High Dynamic Range Imaging in High-Glare Environments
- 通过数字微镜器件和自适应算法实现区域化曝光调控。
- 动态范围达127分贝，应变误差降低78%。
- 适合焊接监测、金属表面应力分析等强光场景。
光机械测量的准确性高度依赖图像质量，尤其在焊接电弧监控和抛光金属表面分析等极端光照条件下。此时需要超过120分贝的高动态范围（HDR）成像。传统CCD/CMOS传感器动态范围通常低于70分贝，在强光下极易饱和，导致细节丢失和数字图像相关（DIC）计算出现显著误差。本文提出一种基于数字微镜器件（DMD）的HDR成像系统，利用其空间调制能力，构建包含DMD光学调制单元与自适应计算成像流水线的协同框架，实现高动态范围场景下的自主区域分割与自适应曝光控制。实验结果表明，该系统可实现127分贝的可测动态范围，有效消除强光下的饱和伪影。在极端亮度变化下，应变误差降低78%，DIC定位精度显著提升，验证了其在复杂光照条件下的可靠性能。该系统克服了传统传感器的关键局限，为高亮环境下的光学计量与应力分析提供了有力解决方案。
原文摘要 · Abstract (English)
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.
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