基于嵌入式系统的井下监控图像清晰化装置

详细信息

Underground monitoring image sharpening device based on embedded system

School of Mechanical Electronic and Information Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China

摘要: 针对煤矿井下环境照度低、粉尘多、电磁环境复杂，监控设备获取的图像在传输过程中会受到噪声污染，严重降低了监控图像质量等问题，设计了一种基于嵌入式系统的井下监控图像清晰化装置。该装置利用小波阈值算法，基于DSP嵌入式系统，在有效抑制噪声的同时保留了原始图像的细节特征、尖峰点，大大增强了监控图像的清晰度。
- 煤矿监控图像 /
- 图像去噪 /
- 清晰化装置 /
- 小波阈值算法 /
- DSP嵌入式系统
Abstract: In view of problems of low illumination, a lot of dust and complex electromagnetic environment in coal mine underground, and images' quality captured by underground monitoring equipment would be reduced in transferring process caused by underground noises, an underground monitoring image sharpening device based on embedded system was designed. The device uses wavelet threshold algorithm and DSP embedded system, and it can effectively restrain noise, meanwhile keep details characteristics and peak point of original images, which greatly enhances monitoring image clarity.
- coal mine monitoring image /
- image de-noising /
- sharpening device /
- wavelet threshold algorithm /
- DSP embedded system