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Enhancing Photographs with near Infra-Red Images

Xiaopeng Zhang, Terence Sim, Xiaoping Miao
CVPR 2008
doi:10.1109/CVPR.2008.4587825 /cvpr/2008/zhang2008cvpr-enhancing/

Abstract

Near Infra-Red (NIR) images of natural scenes usually have better contrast and contain rich texture details that may not be perceived in visible light photographs (VIS). In this paper, we propose a novel method to enhance a photograph by using the contrast and texture information of its corresponding NIR image. More precisely, we first decompose the NIR/VIS pair into average and detail wavelet subbands. We then transfer the contrast in the average subband and transfer texture in the detail subbands. We built a special camera mount that optically aligns two consumer-grade digital cameras, one of which was modified to capture NIR. Our results exhibit higher visual quality than tone-mapped HDR images, showing that NIR imaging is useful for computational photography.

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Cite

Text

Zhang et al. "Enhancing Photographs with near Infra-Red Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2008. doi:10.1109/CVPR.2008.4587825

Markdown

[Zhang et al. "Enhancing Photographs with near Infra-Red Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2008.](https://mlanthology.org/cvpr/2008/zhang2008cvpr-enhancing/) doi:10.1109/CVPR.2008.4587825

BibTeX

@inproceedings{zhang2008cvpr-enhancing,
  title     = {{Enhancing Photographs with near Infra-Red Images}},
  author    = {Zhang, Xiaopeng and Sim, Terence and Miao, Xiaoping},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2008},
  doi       = {10.1109/CVPR.2008.4587825},
  url       = {https://mlanthology.org/cvpr/2008/zhang2008cvpr-enhancing/}
}