Chromaticity Gradient Mapping for Interactive Control of Color Contrast in Images and Video

We present a novel perceptually-motivated interactive tool for using color contrast to enhance details represented in the lightness channel of images and video. Our method lets users adjust the perceived contrast of different details by manipulating local chromaticity while preserving the original lightness of individual pixels. Inspired by the use of similar chromaticity mappings in painting, our tool effectively offers contrast along a user-selected gradient of chromaticities as additional bandwidth for representing and enhancing different details in an image. We provide an interface for our tool that closely resembles the familiar design of tonal contrast curve controls that are available in most professional image editing software. We show that our tool is effective for enhancing the perceived contrast of details without altering lightness in an image and present many examples of effects that can be achieved with our method on both images and video.

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Publication Details

Published
2024-10-11
DOI
https://doi.org/10.1145/3654777.3676340
Citations
2
Primary Topic
Computer Graphics and Visualization Techniques
Type
article
Field-Weighted Citation Impact
1.26
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article

Chromaticity Gradient Mapping for Interactive Control of Color Contrast in Images and Video

Abe Davis, Ruyu Yan, Jiatian Sun
2 citations
Computer Graphics and Visualization Techniques
1.26
article

Chromaticity Gradient Mapping for Interactive Control of Color Contrast in Images and Video

Abe Davis, Ruyu Yan, Jiatian Sun
article en
2 citations

Abstract

We present a novel perceptually-motivated interactive tool for using color contrast to enhance details represented in the lightness channel of images and video. Our method lets users adjust the perceived contrast of different details by manipulating local chromaticity while preserving the original lightness of individual pixels. Inspired by the use of similar chromaticity mappings in painting, our tool effectively offers contrast along a user-selected gradient of chromaticities as additional bandwidth for representing and enhancing different details in an image. We provide an interface for our tool that closely resembles the familiar design of tonal contrast curve controls that are available in most professional image editing software. We show that our tool is effective for enhancing the perceived contrast of details without altering lightness in an image and present many examples of effects that can be achieved with our method on both images and video.

Princeton University (US), Cornell University (US)
Openalex Percentile: Top 12%
Computer Graphics and Visualization Techniques
1.26
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Chromaticity Gradient Mapping for Interactive Control of Color Contrast in Images and Video — Abe Davis, Ruyu Yan, et al. · (2024) | TGRS Research Map | TGRS