JOURNAL ARTICLE

View-Adaptive Asymmetric Image Detail Enhancement for 360-degree Stereoscopic VR Content

Kin-Ming Wong

Year: 2022 Journal:   2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) Pages: 23-26

Abstract

We present a simple VR-specific image detail enhancement method that improves the viewing experience of 360-degree stereoscopic photographed VR contents. By exploiting the fusion characteristics of binocular vision, we propose an asymmetric process that applies detail enhancement to one single image channel only. Our method can dynamically apply the enhancement in a view-adaptive fashion in real-time on most low-cost standalone VR headsets. We discuss the benefits of this method with respect to authoring possibilities, storage and bandwidth issues of photographed VR contents.

Keywords:
Stereoscopy Computer science Channel (broadcasting) Virtual reality Computer vision Bandwidth (computing) Process (computing) Computer graphics (images) Artificial intelligence Multimedia

Metrics

3
Cited By
0.21
FWCI (Field Weighted Citation Impact)
11
Refs
0.48
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Optical Imaging Technologies
Physical Sciences →  Engineering →  Media Technology
Image Enhancement Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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