At present, the abnormal state of equipment and surrounding rocks in the fully mechanized mining face is mainly detected by visual methods. However, the vision sensor works in a low-light environment and it is affected by factors such as water fog and dust, which lead to blurred images. The defogging algorithm of image based on boundary constraint and context regularization has a good effect on image restoration in the daily environment, but the recovery quality is poor in low illumination environment. Therefore, a method based on boundary constraint and nonlinear context regularization is proposed. The model of fog and dust image is established, and the transmittance function is roughly estimated by boundary constraint method. Then, the nonlinear context regularization method based on logarithmic transformation is used to estimate and optimize the scene transmission model to improve the brightness of the image, and the low illumination fog and dust image is restored by the optimized transmittance function. The logarithmic transformation multiple is selected according to the peak value of image brightness. In order to highlight the effectiveness of our method, the widely used and improved Dark Channel Prior or other methods are used for comparison. The experiment results indicate that our method can effectively remove fog and dust and improve the brightness of the image of the fully mechanized face. It is of great significance to ensure safe production and safety of workers and equipment in coal mine.

目前，综采工作面设备和围岩的异常状态主要通过目视检测。但视觉传感器工作在弱光环境下，受水雾、灰尘等因素影响，导致图像模糊。基于边界约束和上下文正则化的图像去雾算法在日常环境下对图像恢复效果较好，但在低照度环境下恢复质量较差。因此，提出了一种基于边界约束和非线性上下文正则化的方法。建立了雾尘图像模型，通过边界约束法粗略估计了透射率函数。然后，采用基于对数变换的非线性上下文正则化方法对场景透射模型进行估计和优化以提高图像的亮度，通过优化的透射函数恢复低照度雾尘图像。根据图像亮度的峰值选择对数变换倍数。为了突出我们方法的有效性，使用广泛使用和改进的暗通道先验或其他方法进行比较。实验结果表明，我们的方法可以有效去除雾气和灰尘，提高了人脸综合图像的亮度。对保障煤矿安全生产和工人、设备安全具有重要意义。通过优化的透光率函数还原低照度雾尘图像。根据图像亮度的峰值选择对数变换倍数。为了突出我们方法的有效性，使用广泛使用和改进的暗通道先验或其他方法进行比较。实验结果表明，我们的方法可以有效去除雾气和灰尘，提高了人脸综合图像的亮度。对保障煤矿安全生产和工人、设备安全具有重要意义。通过优化的透光率函数还原低照度雾尘图像。根据图像亮度的峰值选择对数变换倍数。为了突出我们方法的有效性，使用广泛使用和改进的暗通道先验或其他方法进行比较。实验结果表明，我们的方法可以有效去除雾气和灰尘，提高了人脸综合图像的亮度。对保障煤矿安全生产和工人、设备安全具有重要意义。使用广泛使用和改进的暗通道先验或其他方法进行比较。实验结果表明，我们的方法可以有效去除雾气和灰尘，提高了人脸综合图像的亮度。对保障煤矿安全生产和工人、设备安全具有重要意义。使用广泛使用和改进的暗通道先验或其他方法进行比较。实验结果表明，我们的方法可以有效去除雾气和灰尘，提高了人脸综合图像的亮度。对保障煤矿安全生产和工人、设备安全具有重要意义。