Because low illumination color image has characteristics of low brightness

low contrast

dark colors and low signal noise ratio

enhancement effect of traditional image enhancement algorithms are very limited. A low illumination color image enhancement algorithm based on fuzzy theory is proposed

to prevent color distortion during the image enhancement

by which the red

green

blue（ RGB） image is transformed to hue

saturation

value（ HSV） image. To achieve dynamic range broadening

non-linear variation is carried out on brightness of image

and to enhance contrast

image maps to fuzzy plane by using modified membership function. Experimental results show that the algorithm improves visual effect illumination color images

and enhances overall brightness and contrast of image.