用不规则像素布局解决快照式HDR成像的模糊与伪影问题。
Anti-Aliasing Snapshot HDR Imaging Using Non-Regular Sensing
- 通过不同大小像素组合实现动态范围扩展。
- 非规则排列抑制混叠，保留空间分辨率。
- 傅里叶域重建恢复高细节图像，适合动态场景。
快照式高动态范围（HDR）成像对于单次曝光捕捉完整场景亮度范围至关重要，尤其适用于视频和动态环境，其中运动导致多曝光技术或复杂硬件不可行。本文提出一种基于空间变化孔径的快照式HDR传感器，通过结合两种不同尺寸的原型像素实现。较大的像素具有更大的光积分面积，物理上扩展了低光端的动态范围。为缓解大像素带来的空间分辨率下降及混叠问题，提出非规则像素排布。利用自然图像在傅里叶域中稀疏表示的特性，进行后续重建，有效恢复高细节图像。通过仿真与分析验证了该非规则HDR传感器布局在保持高动态范围的同时，可避免混叠伪影，具备实际应用潜力。
原文摘要 · Abstract (English)
Snapshot HDR imaging is essential to capture the full dynamic range of a scene in a single exposure, making it essential for video and dynamic environments where motion prevents the use of multi-exposure techniques or complex hardware set-ups. This work presents a snapshot HDR imaging sensor that is based on spatially varying apertures, implemented by combining two differently sized prototype pixels. The different light integration areas physically extend the dynamic range towards the lower end, compared to a standard high resolution sensor. A non-regular pixel arrangement is suggested, to mitigate aliasing and overcome a loss in spatial resolution that is associated with increased light integration area of the larger prototype pixel. Subsequent reconstruction in the Fourier domain, where natural images can be sparsely represented allows to recover the image with high detail. The image acquisition approach with the proposed non-regular HDR sensor is simulated and analysed with special emphasis on the spatial resolution. The results suggest the snapshot HDR sensor layout to be an effective way to acquire images with high dynamic range and free from aliasing artefacts.
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