Intrinsic Image Decomposition: Challenges and New Perspectives

Diclehan Ulucan; Oguzhan Ulucan; Marc Ebner

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Paper

Intrinsic Image Decomposition: Challenges and New Perspectives

Topics: Image Analysis and Scene Understanding; Image Formation and Sensors

In Proceedings of the 3rd International Conference on Image Processing and Vision Engineering IMPROVE - Volume 1, 57-64, 2023 , Prague, Czech Republic

Authors: Diclehan Ulucan ; Oguzhan Ulucan and Marc Ebner

Affiliation: Institut für Mathematik und Informatik, Universität Greifswald, Walther-Rathenau-Straße 47, 17489 Greifswald, Germany

Keyword(s): Intrinsic Image Decomposition, Performance Evaluation, Error Metrics.

Abstract: In the field of intrinsic image decomposition, alongside developing a robust algorithm for the ill-posed problem, it is also required to benchmark the method on a comprehensive dataset by using a suitable evaluation metric. However, there are certain limitations in existing evaluation metrics. In this study, two new evaluation strategies are proposed to analyze intrinsics according to their characteristics. The ensemble of metrics combines different perceptual quality metrics in scale-space, while the imperceptible Δ𝐸 score is the modified version of the classical Δ𝐸 metric. Intrinsic image decomposition studies that extract the reflectance and shading images are benchmarked on two datasets. Furthermore, an overview of the field of intrinsic image decomposition is provided and the challenges that have to be overcome are pointed out.

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Paper citation in several formats:

Ulucan, D.; Ulucan, O. and Ebner, M. (2023). Intrinsic Image Decomposition: Challenges and New Perspectives. In Proceedings of the 3rd International Conference on Image Processing and Vision Engineering - IMPROVE; ISBN 978-989-758-642-2; ISSN 2795-4943, SciTePress, pages 57-64. DOI: 10.5220/0011969800003497

@conference{improve23,
author={Diclehan Ulucan. and Oguzhan Ulucan. and Marc Ebner.},
title={Intrinsic Image Decomposition: Challenges and New Perspectives},
booktitle={Proceedings of the 3rd International Conference on Image Processing and Vision Engineering - IMPROVE},
year={2023},
pages={57-64},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011969800003497},
isbn={978-989-758-642-2},
issn={2795-4943},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Image Processing and Vision Engineering - IMPROVE
TI - Intrinsic Image Decomposition: Challenges and New Perspectives
SN - 978-989-758-642-2
IS - 2795-4943
AU - Ulucan, D.
AU - Ulucan, O.
AU - Ebner, M.
PY - 2023
SP - 57
EP - 64
DO - 10.5220/0011969800003497
PB - SciTePress