Application of Light Image Enhancement Technology Based on Infrared Thermal Image Sensor in Sports Training Guidance

Abstract

Abstract Technological progress has rapidly propelled a new generation of science and technology into the field of sports, continuously affecting and challenging traditional sports equipment. However, the design of existing traditional sports equipment is not perfect, and the training guidance strategies are outdated, resulting in the inability to provide effective and scientific sports guidance, resulting in overall poor performance. Therefore, this article studies the motion training guidance system using the optical image enhancement technology of infrared thermal image sensors. Firstly, this article applies relevant knowledge of infrared physics and infrared radiation to establish an infrared thermal image sensor model. The use of infrared thermal imaging sensors can recognize and extract images from motion training. Next, we will delve into the application of light image enhancement technology, as environmental lighting conditions may lead to insufficient contrast between light and dark, color distortion, and noise during the photography process. In response to this issue, this article optimizes traditional image enhancement methods and proposes a light image enhancement strategy that can maintain brightness. Finally, a motion training guidance system was designed by analyzing the optical image enhancement technology of infrared thermal image sensors. The system can real-time query the recent motion status and formulate training plans, effectively improving motion efficiency.