Innovative approaches in high-end photo retouching and color grading techniques for enhanced marketing and visual storytelling, including for SMEs
1 Swanta Ventures Limited, Nigeria.
2 The Velvet Expression, Lagos, Nigeria.
3 Independent Researcher, UK.
Review
International Journal of Frontiers in Science and Technology Research, 2024, 07(01), 057–065.
Article DOI: 10.53294/ijfstr.2024.7.1.0048
Publication history:
Received on 01 July 2024; revised on 05 August 2024; accepted on 08 August 2024
Abstract:
This paper explores innovative high-end photo retouching and color grading approaches, emphasizing their significance in marketing and visual storytelling. It traces the evolution from traditional to digital techniques, highlighting technological advancements and the integration of artificial intelligence (AI) and machine learning (ML). These advancements have democratized access to professional-grade tools, enabling more efficient and precise editing. The paper details critical techniques such as skin retouching, background enhancement, and compositing, which are crucial for creating aesthetically pleasing and realistic images. It also delves into the principles of color theory and its application in achieving various moods and styles, influenced significantly by cinematic color grading. Furthermore, the paper examines the benefits and challenges small and medium-sized enterprises (SMEs) face in leveraging these techniques to compete with larger companies. Despite budget constraints and limited expertise, SMEs can utilize affordable tools, invest in training, and adopt efficient workflows to enhance their visual content. This paper underscores the transformative power of high-end photo retouching and color grading in modern marketing, offering insights into practical applications and strategic advantages for businesses of all sizes.
Keywords:
High-end photo retouching; Color grading; Visual storytelling; Artificial intelligence
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Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0