Algorithmic Color Methods of Media Arts

Author:

Bendito Petronio1ORCID

Affiliation:

1. Patti and Rusty RueffSchool of Design, Art, and Performance, Purdue University, West Lafayette, IN, USA

Abstract

The paper describes a framework for systematically exploring the RGB color model (RGB color cube) for generating color palettes based on six algorithmic methods divided into two categories: Primitive and Derivative. The Primitive method is comprised of the RGB Linear method, the RGB Planar method, and the RGB Cuboid method. The Derivative method includes the RGB Multi-Linear method, the RGB Multi-Planar method, and the RGB Multi-Cuboid method. On a practical level, the goal of the paper is to introduce a systems approach to the notion of creating and applying algorithms to create a variety of color combinations and palettes in the field of Media Arts. The framework was implemented as a color design approach to the process of producing color palettes in the context of Media Arts while exploring the intersection of mathematical principles of geometry, color, and code. An investigation was conducted into how algorithmic color palettes generated from the methods correlate to culture, history, and other artistic practices. An application of the methodology and a discussion about how the framework can continue to evolve and be applied to other research areas and fields of applications, such as digital color literacy education, are presented.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Information Systems,Conservation

Reference22 articles.

1. Michael Rush. 2005. New Media in Art. New York, NY: Thames & Hudson, 180.

2. Christine Paul. 2008. Digital Art. New York, NY: Thames & Hudson.

3. Digital Art, Aesthetic Creation

4. Michael Rush. 1999. New Media in Late 20th-Century Art. New York, NY: Thames & Hudson.

5. A Biography of the Pixel

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3