Application and Algorithm Implementation of High Dynamic Range Images in Graphic Design

With the rapid development of technology, the application of artificial intelligence (AI) technology in the field of graphic design is expanding its boundaries at an unprecedented speed. Among them, the introduction of high dynamic range (HDR) image technology has brought revolutionary changes to gr...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:2025 International Conference on Electrical Drives, Power Electronics & Engineering (EDPEE) S. 522 - 526
1. Verfasser: Li, Derong
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 26.03.2025
Schlagworte:
Algorithm implementation
Artificial intelligence
Feature extraction
Graphic artist designer
Graphics
Heuristic algorithms
High dynamic range
High dynamic range images
Image color analysis
Lighting
Optimization
Technological innovation
Visual effects
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:With the rapid development of technology, the application of artificial intelligence (AI) technology in the field of graphic design is expanding its boundaries at an unprecedented speed. Among them, the introduction of high dynamic range (HDR) image technology has brought revolutionary changes to graphic design. HDR images, with their rich color layers and delicate details, provide viewers with a more stunning and realistic visual experience, greatly enhancing the expressiveness and infectiousness of design works. The core of HDR image technology lies in extracting key feature information from multiple low dynamic range (LDR) images with different exposures, and synthesizing a color rich and detail rich HDR image through complex algorithms. This article delves into the diverse applications of HDR images in graphic design. Based on this, an innovative HDR image optimization algorithm combined with deep learning (DL) technology is proposed to further improve the quality of HDR images, making colors more natural and details clearer. The experimental results show that the algorithm can effectively improve the visual effect of HDR images, injecting new vitality and possibilities into the field of graphic design.
DOI:10.1109/EDPEE65754.2025.00096