Curve based Fast Detail Enhancement for Biomedical Images
Ran Fei, Ran Fei, Ying Weng, Ying Weng, Yiming Zhang, Yiming Zhang, Jonathan Lund, Jonathan Lund
2021
Abstract
Biomedical images are widely collected from various applications, which are used for patients' screening, diagnosis and treatment. The dark regions of biomedical images may play as an important role as the bright regions. The enhanced details in the dark regions of biomedical images simultaneously maintain the quality of the rest of the images and reveal more information for doctors and surgeons in medical procedures. This paper proposes a fast method to adaptively enhance the details in the dark regions of biomedical images, including X-rays, video frames of laparoscopy in minimally invasive surgery (MIS).
DownloadPaper Citation
in Harvard Style
Fei R., Weng Y., Zhang Y. and Lund J. (2021). Curve based Fast Detail Enhancement for Biomedical Images. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP; ISBN 978-989-758-488-6, SciTePress, pages 337-344. DOI: 10.5220/0010250203370344
in Bibtex Style
@conference{visapp21,
author={Ran Fei and Ying Weng and Yiming Zhang and Jonathan Lund},
title={Curve based Fast Detail Enhancement for Biomedical Images},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP},
year={2021},
pages={337-344},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010250203370344},
isbn={978-989-758-488-6},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP
TI - Curve based Fast Detail Enhancement for Biomedical Images
SN - 978-989-758-488-6
AU - Fei R.
AU - Weng Y.
AU - Zhang Y.
AU - Lund J.
PY - 2021
SP - 337
EP - 344
DO - 10.5220/0010250203370344
PB - SciTePress