Enhancing Visual Perception in Immersive VR and AR Environments: AI-Driven Color and Clarity Adjustments Under Dynamic Lighting Conditions
The visual fidelity of virtual reality (VR) and augmented reality (AR) environments is essential for user immersion and comfort. Dynamic lighting often leads to chromatic distortions and reduced clarity, causing discomfort and disrupting user experience. This paper introduces an AI-driven chromatic...
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MDPI AG
2024-11-01
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| Series: | Technologies |
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| Online Access: | https://www.mdpi.com/2227-7080/12/11/216 |
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| author | Maryam Abbasi Paulo Váz José Silva Pedro Martins |
| author_facet | Maryam Abbasi Paulo Váz José Silva Pedro Martins |
| author_sort | Maryam Abbasi |
| collection | DOAJ |
| description | The visual fidelity of virtual reality (VR) and augmented reality (AR) environments is essential for user immersion and comfort. Dynamic lighting often leads to chromatic distortions and reduced clarity, causing discomfort and disrupting user experience. This paper introduces an AI-driven chromatic adjustment system based on a modified U-Net architecture, optimized for real-time applications in VR/AR. This system adapts to dynamic lighting conditions, addressing the shortcomings of traditional methods like histogram equalization and gamma correction, which struggle with rapid lighting changes and real-time user interactions. We compared our approach with state-of-the-art color constancy algorithms, including Barron’s Convolutional Color Constancy and STAR, demonstrating superior performance. Experimental results from 60 participants show significant improvements, with up to 41% better color accuracy and 39% enhanced clarity under dynamic lighting conditions. The study also included eye-tracking data, which confirmed increased user engagement with AI-enhanced images. Our system provides a practical solution for developers aiming to improve image quality, reduce visual discomfort, and enhance overall user satisfaction in immersive environments. Future work will focus on extending the model’s capability to handle more complex lighting scenarios. |
| format | Article |
| id | doaj-art-58759604fadf4054b58d213c6f3ea04b |
| institution | OA Journals |
| issn | 2227-7080 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
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| series | Technologies |
| spelling | doaj-art-58759604fadf4054b58d213c6f3ea04b2025-08-20T02:27:39ZengMDPI AGTechnologies2227-70802024-11-01121121610.3390/technologies12110216Enhancing Visual Perception in Immersive VR and AR Environments: AI-Driven Color and Clarity Adjustments Under Dynamic Lighting ConditionsMaryam Abbasi0Paulo Váz1José Silva2Pedro Martins3Applied Research Institute, Polytechnic of Coimbra, 3045-093 Coimbra, PortugalResearch Center in Digital Services (CISeD), Polytechnic of Viseu, 3504-510 Viseu, PortugalResearch Center in Digital Services (CISeD), Polytechnic of Viseu, 3504-510 Viseu, PortugalResearch Center in Digital Services (CISeD), Polytechnic of Viseu, 3504-510 Viseu, PortugalThe visual fidelity of virtual reality (VR) and augmented reality (AR) environments is essential for user immersion and comfort. Dynamic lighting often leads to chromatic distortions and reduced clarity, causing discomfort and disrupting user experience. This paper introduces an AI-driven chromatic adjustment system based on a modified U-Net architecture, optimized for real-time applications in VR/AR. This system adapts to dynamic lighting conditions, addressing the shortcomings of traditional methods like histogram equalization and gamma correction, which struggle with rapid lighting changes and real-time user interactions. We compared our approach with state-of-the-art color constancy algorithms, including Barron’s Convolutional Color Constancy and STAR, demonstrating superior performance. Experimental results from 60 participants show significant improvements, with up to 41% better color accuracy and 39% enhanced clarity under dynamic lighting conditions. The study also included eye-tracking data, which confirmed increased user engagement with AI-enhanced images. Our system provides a practical solution for developers aiming to improve image quality, reduce visual discomfort, and enhance overall user satisfaction in immersive environments. Future work will focus on extending the model’s capability to handle more complex lighting scenarios.https://www.mdpi.com/2227-7080/12/11/216AI-driven image enhancementvirtual realityaugmented realityimage qualitydeep learninglighting conditions |
| spellingShingle | Maryam Abbasi Paulo Váz José Silva Pedro Martins Enhancing Visual Perception in Immersive VR and AR Environments: AI-Driven Color and Clarity Adjustments Under Dynamic Lighting Conditions Technologies AI-driven image enhancement virtual reality augmented reality image quality deep learning lighting conditions |
| title | Enhancing Visual Perception in Immersive VR and AR Environments: AI-Driven Color and Clarity Adjustments Under Dynamic Lighting Conditions |
| title_full | Enhancing Visual Perception in Immersive VR and AR Environments: AI-Driven Color and Clarity Adjustments Under Dynamic Lighting Conditions |
| title_fullStr | Enhancing Visual Perception in Immersive VR and AR Environments: AI-Driven Color and Clarity Adjustments Under Dynamic Lighting Conditions |
| title_full_unstemmed | Enhancing Visual Perception in Immersive VR and AR Environments: AI-Driven Color and Clarity Adjustments Under Dynamic Lighting Conditions |
| title_short | Enhancing Visual Perception in Immersive VR and AR Environments: AI-Driven Color and Clarity Adjustments Under Dynamic Lighting Conditions |
| title_sort | enhancing visual perception in immersive vr and ar environments ai driven color and clarity adjustments under dynamic lighting conditions |
| topic | AI-driven image enhancement virtual reality augmented reality image quality deep learning lighting conditions |
| url | https://www.mdpi.com/2227-7080/12/11/216 |
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