High dynamic range three-dimensional imaging via angular Fourier slicing enhanced burst photography

Dynamic range fundamentally limits the acquisition of detailed information in three-dimensional (3D) imaging. Current high dynamic range profilometry face a critical trade-off between robustness against optical interference and operational efficiency. To overcome above challenge, this paper introduces a novel computational 3D imaging framework that integrates Fourier single-pixel imaging with burst photography. The core innovations comprise: (1) Angular Fourier Slicing, enabling robust high dynamic range reconstruction from underexposed burst sequences by exploiting spatiotemporal coherence to preserve low-frequency fidelity in direct-reflection zones; (2) Dual-output (spatial-attenuation) light source reconstruction, facilitating physics-guided weighted midpoint triangulation for subpixel-accurate matching. The proposed framework maintains precision while drastically improving efficiency. Featuring pixel-independent processing, its inherently parallel architecture establishes a new paradigm for real-time high-speed high dynamic range 3D imaging, with implications for next- generation sensor design and applications in complex lighting environments.