Robust High Dynamic Range Imaging by Rank Minimization

Category
International Journal
Journal/Conference
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
Author
Tae-Hyun Oh, Joon-Young Lee, Yu-Wing Tai, In So Kweon
Year
2015
Award
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tags
TPAMI
2015
Published
μƒμ„±μΌμž
1/29/2021, 7:01:00 AM
[Code]
[Abstract]
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This paper introduces a new high dynamic range (HDR) imaging algorithm which utilizes rank minimization. Assuming a camera responses linearly to scene radiance, the input low dynamic range (LDR) images captured with different exposure time exhibit a linear dependency and form a rank-1 matrix when stacking intensity of each corresponding pixel together. In practice, misalignments caused by camera motion, presences of moving objects, saturations and image noise break the rank-1 structure of the LDR images. To address these problems, we present a rank minimization algorithm which simultaneously aligns LDR images and detects outliers for robust HDR generation. We evaluate the performances of our algorithm systematically using synthetic examples and qualitatively compare our results with results from the state-of-the-art HDR algorithms using challenging real world examples.