Methods for real-time underground built heritage visualization enhancement

Abstract

This scientific paper aims to address the challenges that come with enhancing the real-time visualization of underground heritage sites. The study seeks to overcome the limitations of low-light conditions and human color perception in underground environments by proposing a solution that combines image processing techniques and augmented reality (AR) concepts. The system utilizes a virtual reality (VR) headset integrated with a stereovision camera to capture live images. To improve image quality, the study evaluates various image processing algorithms, such as MultiScale Retinex and Contrast Limited Adaptive Histogram Equalization. The results show that the proposed methods are effective in enhancing the sightseeing experience of underground heritage sites. The image processing algorithms successfully brighten dark areas, increase clarity, and reveal subtle color differences. The paper discusses the system architecture and requirements, along with prototype testing in underground heritage sites. Overall, the developed system significantly improves the visualization of underground heritage sites in real-time, providing visitors with a more immersive and enhanced visual experience. The research offers valuable insights for future applications and research in this domain, contributing to the field of underground heritage visualization.