Enhancement Contrast and Denoising of Low Illumination Image of Underground Mine Tunnel

For enhancing low lumination image of underground mine tunnel, a hybrid local histogram equalization with partial differential equation is proposed to combine a local histogram equalization and total variation method with edge-stopping function via partial differential equation. The local histogram equalization is to enhance contrast of image with keeping shape and edge, while total variation method with edge-stopping function is to smooth image by gradient diffusion for lowing noise. In the presented hybrid method, a parallel trade-off scheme is utilized for simultaneous denoising and contrast enhancement. Experiments are carried out to validate the hybrid method using a standard image and a real image of underground mine tunnel. The results prove that it is an alternative processing method for low luminous image of underground mine tunnel.