Visual Communication Design and Color Balance Algorithm for Multimedia Image Analysis

Authors

  • Beibei Gao Pre-school Teachers College, The Open University of Shaanxi, Xi’an 710119, Shaanxi, China
  • Hongxing Qian School of Media and Communication, Changchun Humanities and Sciences College, Changchun 130117, Jilin, China
  • Lilin Jiang Pusra (Henan) Technology Co. LTD, Nanyang 474550, Henan, China

DOI:

https://doi.org/10.31577/cai_2024_4_900

Keywords:

Visual communication design, color balance algorithm, electronic imaging, multimedia images, image recognition, graphic design

Abstract

As culture continues to evolve, the field of visual communication design faces new challenges in the era of new media. To address these challenges, a paper proposed innovative ideas for the industry's growth and development. Specifically, the paper suggested that incorporating visual communication design and color balance into multimedia image analysis can enhance the visual impact of images. Results showed that images analyzed under this approach received a visual effect score 10 % higher than those analyzed without it, validating the effectiveness of this proposal. The visual effect score of Image 2 (the visual design proposed in this article) was 10 % higher than that of Image 1 (general visual design). Based on the comparison of the spatial comparison Transfer Function of Modulation Transfer Function, the increase is about 12.5 % under this method. Overall, this paper offered new perspectives on improving visual communication design for the era of new media.

Downloads

Download data is not yet available.

Downloads

Published

2024-08-31

How to Cite

Gao, B., Qian, H., & Jiang, L. (2024). Visual Communication Design and Color Balance Algorithm for Multimedia Image Analysis. Computing and Informatics, 43(4), 900–925. https://doi.org/10.31577/cai_2024_4_900

Issue

Section

Special Section Articles