EVALUATION OF DENOISING METHODS WITH RAW IMAGES AND PERCEPTUAL MEASURES

Matteo Pedone, Janne Heikkilä, Jarno Nikkanen, Leena Lepistö, Timo Kaikumaa

Abstract

In this paper we present a performance evaluation of different state-of-the-art denoising method, applied to RAW images in Bayer pattern format. Several measures for assessing objective quality are considered. We also propose, a novel and straightforward extension to the SSIM-Index that handles color information. The evaluation is divided in two stages: first an entire set of images is artificially degraded and then restored with the considered denoising/demosaicking methods. The second stage involved a subjective evaluation with real noisy RAW images. We observed that the resulting qualities of the considered denoising methods are in agreement between the two different evaluation stages, and the best performing algorithms are easily identified. Moreover, the proposed extension of the SSIM-Index proved to behave more consistently in respect to the artifacts introduced by the denoising algorithms, and its outcome was always in fair accordance with the subjective perceived quality.

References

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Paper Citation


in Harvard Style

Pedone M., Heikkilä J., Nikkanen J., Lepistö L. and Kaikumaa T. (2010). EVALUATION OF DENOISING METHODS WITH RAW IMAGES AND PERCEPTUAL MEASURES . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-028-3, pages 168-173. DOI: 10.5220/0002831201680173


in Bibtex Style

@conference{visapp10,
author={Matteo Pedone and Janne Heikkilä and Jarno Nikkanen and Leena Lepistö and Timo Kaikumaa},
title={EVALUATION OF DENOISING METHODS WITH RAW IMAGES AND PERCEPTUAL MEASURES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={168-173},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002831201680173},
isbn={978-989-674-028-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)
TI - EVALUATION OF DENOISING METHODS WITH RAW IMAGES AND PERCEPTUAL MEASURES
SN - 978-989-674-028-3
AU - Pedone M.
AU - Heikkilä J.
AU - Nikkanen J.
AU - Lepistö L.
AU - Kaikumaa T.
PY - 2010
SP - 168
EP - 173
DO - 10.5220/0002831201680173