Asymmetric Stereo High Dynamic Range Imaging with Smartphone Cameras

Stereo high dynamic range imaging (SHDRI) offers a more temporally stable solution to high dynamic range (HDR) imaging from low dynamic range input images compared to bracketing and removes the loss of accuracy that single-image HDR solutions offer. However, few solutions currently exist that take advantage of the different (asymmetric) lenses, commonly found on modern smartphones, to achieve SHDRI. This paper presents a method that achieves single-shot asymmetric HDR fusion via a reference-based deep learning approach. Results demonstrate a system that is more robust to aperture and image signal processing pipeline differences than existing solutions.

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Publication Details

Journal
Sensors
Published
2024-09-10
DOI
https://doi.org/10.3390/s24185876
Citations
1
Primary Topic
Image Enhancement Techniques
Type
article
Field-Weighted Citation Impact
0.25
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article

Asymmetric Stereo High Dynamic Range Imaging with Smartphone Cameras

Will Midgley, Finn Russell
1 citations
Sensors
Image Enhancement Techniques
0.25
article

Asymmetric Stereo High Dynamic Range Imaging with Smartphone Cameras

Will Midgley, Finn Russell
article en
1 citations

Abstract

Stereo high dynamic range imaging (SHDRI) offers a more temporally stable solution to high dynamic range (HDR) imaging from low dynamic range input images compared to bracketing and removes the loss of accuracy that single-image HDR solutions offer. However, few solutions currently exist that take advantage of the different (asymmetric) lenses, commonly found on modern smartphones, to achieve SHDRI. This paper presents a method that achieves single-shot asymmetric HDR fusion via a reference-based deep learning approach. Results demonstrate a system that is more robust to aperture and image signal processing pipeline differences than existing solutions.

SensorsVol. 24(18)
UNSW Sydney (AU)
Affordable and clean energy
Openalex Percentile: Top 48%
Image Enhancement Techniques
0.25
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