Abstract: In order to further explore the application and research of underground image enhancement technology in coal mines, through the bibliometric analysis method, the literature on underground image enhancement technology in coal mines from 2001 to 2023 included in the China National Knowledge Infrastructure（CNKI） database is taken as the research object, and the knowledge graph of the number of articles, authors and research institutions, and keyword clustering is drawn with the help of CiteSpace software, so as to visually analyze the application and development of image enhancement technology in underground coal mines in China. Combined with the relevant knowledge graph, this paper classifies the existing image enhancement algorithms in coal mines, analyzes the application scope, advantages and disadvantages of each type of algorithm in detail, and summarizes the current research trends and development trends in this field. The above research results reveal the development process, knowledge base, hot spots, and frontier trends of the application of image enhancement technology in coal mines, and provide a scientific reference for the subsequent research on image enhancement technology under the restricted conditions.