Single-shot HDR using conventional image sensor shutter functions and optical randomization
Xiang Dai, Kyrollos Yanny, Kristina Monakhova, Nicholas Antipa

TL;DR
This paper introduces a single-shot HDR imaging technique that uses optical randomization and the sensor's global reset release mode to recover high dynamic range data effectively, especially in saturated regions, with a simple optimization approach.
Contribution
It presents a novel single-shot HDR method combining optical randomization with the sensor's GRR shutter mode, enabling improved HDR recovery in saturated scenes.
Findings
Outperforms other single-shot HDR methods with high saturation levels.
Achieves up to 73dB dynamic range with an 8-bit sensor.
Demonstrates a practical prototype using off-the-shelf components.
Abstract
High-dynamic-range (HDR) imaging is an essential technique for overcoming the dynamic range limits of image sensors. The classic method relies on multiple exposures, which slows capture time, resulting in motion artifacts when imaging dynamic scenes. Single-shot HDR imaging alleviates this issue by encoding HDR data into a single exposure, then computationally recovering it. Many established methods use strong image priors to recover improperly exposed image detail. These approaches struggle with extended highlight regions. We utilize the global reset release (GRR) shutter mode of an off-the-shelf sensor. GRR shutter mode applies a longer exposure time to rows closer to the bottom of the sensor. We use optics that relay a randomly permuted (shuffled) image onto the sensor, effectively creating spatially randomized exposures across the scene. The exposure diversity allows us to recover…
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