ML Anthology

Gradient-Directed Composition of Multi-Exposure Images

Wei Zhang, Wai-kuen Cham
CVPR 2010 pp. 530-536
doi:10.1109/CVPR.2010.5540168 /cvpr/2010/zhang2010cvpr-gradient/

Abstract

In this paper, we present a simple yet effective method that takes advantage of the gradient information to accomplish the multi-exposure image composition in both static and dynamic scenes. Given multiple images with different exposures, the proposed approach is capable of producing a pleasant tonemapped-like high dynamic range (HDR) image by compositing them seamlessly with the guidance of gradient-based quality assessment. Especially, two novel quality measures: visibility and consistency, are developed based on the observations of gradient changes among different exposures. Experiments in various static and dynamic scenes are conducted to demonstrate the effectiveness of the proposed method.

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Cite

Text

Zhang and Cham. "Gradient-Directed Composition of Multi-Exposure Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010. doi:10.1109/CVPR.2010.5540168

Markdown

[Zhang and Cham. "Gradient-Directed Composition of Multi-Exposure Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010.](https://mlanthology.org/cvpr/2010/zhang2010cvpr-gradient/) doi:10.1109/CVPR.2010.5540168

BibTeX

@inproceedings{zhang2010cvpr-gradient,
  title     = {{Gradient-Directed Composition of Multi-Exposure Images}},
  author    = {Zhang, Wei and Cham, Wai-kuen},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2010},
  pages     = {530-536},
  doi       = {10.1109/CVPR.2010.5540168},
  url       = {https://mlanthology.org/cvpr/2010/zhang2010cvpr-gradient/}
}