Robust Multi-Image HDR Reconstruction for the Modulo Camera
Florian Lang, Tobias Pl\"otz, Stefan Roth

TL;DR
This paper introduces a noise-robust algorithm for multi-image HDR reconstruction using the novel modulo camera, significantly improving artifact reduction and reliability over previous methods.
Contribution
The paper presents a new reconstruction algorithm that is robust to noise in modulo camera HDR imaging, addressing limitations of previous noise-sensitive methods.
Findings
Outperforms baseline methods on real data
Significantly reduces artifacts in noisy conditions
Theoretically analyzes the algorithm's correctness and limitations
Abstract
Photographing scenes with high dynamic range (HDR) poses great challenges to consumer cameras with their limited sensor bit depth. To address this, Zhao et al. recently proposed a novel sensor concept - the modulo camera - which captures the least significant bits of the recorded scene instead of going into saturation. Similar to conventional pipelines, HDR images can be reconstructed from multiple exposures, but significantly fewer images are needed than with a typical saturating sensor. While the concept is appealing, we show that the original reconstruction approach assumes noise-free measurements and quickly breaks down otherwise. To address this, we propose a novel reconstruction algorithm that is robust to image noise and produces significantly fewer artifacts. We theoretically analyze correctness as well as limitations, and show that our approach significantly outperforms the…
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Taxonomy
TopicsAdvanced Vision and Imaging · Image Enhancement Techniques · Image Processing Techniques and Applications
