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Authors: Hiroshi Tajima ; Teppei Tsubokawa ; Yoshihiro Maeda and Norishige Fukushima

Affiliation: Nagoya Institute of Technology, Japan, Tokyo University of Science, Japan ∗https://fukushima.web.nitech.ac.jp/en/

Keyword(s): Edge-preserving Filtering, Local LUT Upsampling, Acceleration, Bilateral Filtering, L0 Smoothing.

Abstract: Edge-preserving filters have been used in various applications in image processing. As the number of pixels of digital cameras has been increasing, the computational cost becomes higher, since the order of the filters depends on the image size. There are several acceleration approaches for the edge-preserving filtering; however, most approaches reduce the dependency of filtering kernel size to the processing time. In this paper, we propose a method to accelerate the edge-preserving filters for high-resolution images. The method subsamples an input image and then performs the edge-preserving filtering on the subsampled image. Our method then upsamples the subsampled image with the guidance, which is the high-resolution input images. For this upsampling, we generate per-pixel LUTs for high-precision upsampling. Experimental results show that the proposed method has higher performance than the conventional approaches.

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Paper citation in several formats:
Tajima, H.; Tsubokawa, T.; Maeda, Y. and Fukushima, N. (2020). Fast Local LUT Upsampling. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP; ISBN 978-989-758-402-2; ISSN 2184-4321, SciTePress, pages 67-75. DOI: 10.5220/0008963200670075

@conference{visapp20,
author={Hiroshi Tajima. and Teppei Tsubokawa. and Yoshihiro Maeda. and Norishige Fukushima.},
title={Fast Local LUT Upsampling},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP},
year={2020},
pages={67-75},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008963200670075},
isbn={978-989-758-402-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP
TI - Fast Local LUT Upsampling
SN - 978-989-758-402-2
IS - 2184-4321
AU - Tajima, H.
AU - Tsubokawa, T.
AU - Maeda, Y.
AU - Fukushima, N.
PY - 2020
SP - 67
EP - 75
DO - 10.5220/0008963200670075
PB - SciTePress

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