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High dynamic range imaging by a rank-1 constraint

Title
High dynamic range imaging by a rank-1 constraint
Authors
Oh, Tae-HyunLee, Joon-YoungKweon, In So
Date Issued
2013-09-15
Publisher
IEEE Computer Society
Abstract
We present a high dynamic range (HDR) imaging algorithm that utilizes a modern rank minimization framework. Linear dependency exists among low dynamic range (LDR) images. However, global or local misalignment by camera motion and moving objects breaks down the low-rank structure of LDR images. The proposed algorithm simultaneously estimates global geometric transforms to align LDR images and detects moving objects and under-/over-exposed regions using a rank minimization approach. In the HDR composition step, structural consistency weighting is proposed to generate an artifact-free HDR image from an user-selected reference image. We demonstrate the robustness and effectiveness of the proposed method with real datasets. © 2013 IEEE.
URI
https://oasis.postech.ac.kr/handle/2014.oak/117038
Article Type
Conference
Citation
2013 20th IEEE International Conference on Image Processing, ICIP 2013, page. 790 - 794, 2013-09-15
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