Key technology and research outlook for super-resolution reconstruction of low-quality images in complex mine environments
摘要
Given the pivotal role of China’s coal industry in ensuring energy security and economic development, coupled with the national strategic goals of achieving carbon peak and carbon neutrality as well as advancing energy revolution, the construction of intelligent mines has gradually emerged as a core pathway for the transformation and upgrading of the coal industry. Intelligent mining aims to promote high-quality development of the coal sector through technological innovation, emphasizing not only the improvement of production efficiency and safety but also the precise acquisition and processing of data in complex environments. However, the complex and variable conditions in mine environments, including insufficient lighting, dust, and equipment noise, often result in the acquisition of low-quality images, which significantly hinder the effectiveness of vision-based intelligent monitoring and analysis systems. The inability of low-quality images to meet the requirements of high-precision recognition and analysis in critical areas such as mine safety production, equipment condition monitoring, and disaster early warning has become a major technical bottleneck in the advancement of intelligent mining. In this context, image super-resolution reconstruction technology, as a key technique capable of restoring high-resolution details from low-resolution images, has garnered widespread attention from both academia and industry in recent years. Furthermore, it is gradually becoming an effective solution to address image quality issues in complex mine environments. By leveraging image processing and deep learning methods, super-resolution reconstruction technology can significantly enhance the clarity and detail representation of low-quality images, thereby providing high-quality visual data support for intelligent mining. Due to the unique demands and broader requirements of mine environments for image super-resolution technology, research on key technologies for super-resol