HaRP: High Dynamic Range Photosequencing through Dual Reversed Shutter Scanning

2026-09-23

AI Summary

该研究提出了一种双反向扫描设置，通过同步互补曝光来解决RSGR模式下的动态范围压缩问题，并使用相关性引导的混合注意力模块恢复细节，提高HDR重建技术。

Abstract

The adoption of CMOS sensors in mobile photography is frequently compromised by the rolling shutter (RS) effect, which introduces geometric distortions and motion artifacts. Particularly, recent rolling shutter with global reset (RSGR) mode, while mitigating some RS issues, also incurs major limitations, including reduced capture speed and compressed dynamic range. To address these problems, we propose a novel dual reversed scanning setup utilizing both RSGR and inverted RSGR views. This solution not only handles the inherent flaws of RSGR by synchronizing complementary exposures to balance the dynamic range across the frames but also introduces an effective method for HDR photosequencing under highly dynamic scenes. Our proposed network first accommodates row-wise complementarity and manages visual shifts by row-adaptive feature alignment. Subsequently, the hallucination module, built upon a correlation-guided mixattention block, integrates the mutually reinforced features to recover missing details. In addition, we construct a coaxial imaging system to collect a real-world dataset, enabling robust training and evaluation beyond numerical simulation. Experimental results demonstrate the twofold benefits of our solution in mitigating RSGR limitations and advancing HDR reconstruction techniques.

Problem

• rolling shutter
• CMOS sensors
• dynamic range
• geometric distortions
• motion artifacts

Innovation

• dual reversed scanning
• high dynamic range (HDR) photosequencing
• correlation-guided mixattention block