A Color Preserving Tone Mapping Framework in the Intrinsic Domain

Abstract Tone mapping is an essential step in an acquisition or a rendering pipeline to map high dynamic range (HDR) content to a reference display range. The simplest tone mapping approach is to apply a function to the luminance channel of an HDR image and then to propagate the change to the red, green, and blue channels. However, this often causes color distortions since luminance and chrominance channels are interdependent, and modifying one affects the other. We propose a novel tone mapping approach that preliminarily decomposes the image into intrinsic components and leverages them to perform the actual operation. This strategy effectively mitigates color distortions, eliminating the need for post-processing color correction required by many state-of-the-art methods, and it also assists tone mapping operators (TMOs), improving the overall image quality. Our method was validated through quantitative metrics and a psychophysical experiment, both demonstrating its effectiveness.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-10-01
DOI
https://doi.org/10.1088/1742-6596/3128/1/012008
Primary Topic
Image Enhancement Techniques
Type
article
Field-Weighted Citation Impact
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article

A Color Preserving Tone Mapping Framework in the Intrinsic Domain

Journal of Physics Conference Series
Image Enhancement Techniques
article

A Color Preserving Tone Mapping Framework in the Intrinsic Domain

article en

Abstract

Abstract Tone mapping is an essential step in an acquisition or a rendering pipeline to map high dynamic range (HDR) content to a reference display range. The simplest tone mapping approach is to apply a function to the luminance channel of an HDR image and then to propagate the change to the red, green, and blue channels. However, this often causes color distortions since luminance and chrominance channels are interdependent, and modifying one affects the other. We propose a novel tone mapping approach that preliminarily decomposes the image into intrinsic components and leverages them to perform the actual operation. This strategy effectively mitigates color distortions, eliminating the need for post-processing color correction required by many state-of-the-art methods, and it also assists tone mapping operators (TMOs), improving the overall image quality. Our method was validated through quantitative metrics and a psychophysical experiment, both demonstrating its effectiveness.

Journal of Physics Conference SeriesVol. 3128(1)
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" (IT), EURECOM (FR), Cyprus Research and Innovation Center (Cyprus) (CY), Huawei Technologies (France) (FR)
Openalex Percentile: Top 42%
Image Enhancement Techniques
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