Face detection has wide applications. But many of the detection algorithms are sensitive to illumination variation. Detection rates usually drop quickly if the illumination is too bright

too dark

or non-uniform illumination. This paper proposed a adaptive logarithm illumination compensation method based neighbour remediation technique

the method use logarithm function as primary function

therefore it's true of human visual trait; and setup the offset's coefficients of logarithm function to solve the illumination problem in varying degree

thus this method is ability of compensation of all types of image in varying degrees through adjusting the coefficients; and introduce a remediation technique based neighbour area to reduce illumination influence and enhance image details

so the resource of the image which transformed has been improved. Experimental results show that this method is effective in compensating facial images of over-lighting and over-shading

and it is beneficial to improve the facial detection rate.