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Data-driven image color theme enhancement

Published: 15 December 2010 Publication History

Abstract

It is often important for designers and photographers to convey or enhance desired color themes in their work. A color theme is typically defined as a template of colors and an associated verbal description. This paper presents a data-driven method for enhancing a desired color theme in an image. We formulate our goal as a unified optimization that simultaneously considers a desired color theme, texture-color relationships as well as automatic or user-specified color constraints. Quantifying the difference between an image and a color theme is made possible by color mood spaces and a generalization of an additivity relationship for two-color combinations. We incorporate prior knowledge, such as texture-color relationships, extracted from a database of photographs to maintain a natural look of the edited images. Experiments and a user study have confirmed the effectiveness of our method.

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Published In

cover image ACM Transactions on Graphics
ACM Transactions on Graphics  Volume 29, Issue 6
December 2010
480 pages
ISSN:0730-0301
EISSN:1557-7368
DOI:10.1145/1882261
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 15 December 2010
Published in TOG Volume 29, Issue 6

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Author Tags

  1. color optimization
  2. color theme
  3. histograms
  4. soft segmentation
  5. texture classes

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  • (2023)An Optimization-based Recoloring System to Theme-Color最適化に基づくテーマカラーへの変換システムThe Journal of the Society for Art and Science10.3756/artsci.22.12_122:4(12_1-12_10)Online publication date: 2023
  • (2023)Understanding Design Collaboration Between Designers and Artificial Intelligence: A Systematic Literature ReviewProceedings of the ACM on Human-Computer Interaction10.1145/36102177:CSCW2(1-35)Online publication date: 4-Oct-2023
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