  Image enhancement helps to generate balanced lighting distributions over
faces. Our goal is to get an illuminance-balanced enhanced face image from a
single view. Traditionally, image enhancement methods ignore the 3D geometry of
the face or require a complicated multi-view geometry. Other methods cause
color tone shifting or over saturation. Inspired by the new research
achievements in face alignment and face 3D modeling, we propose an improved
face image enhancement method by leveraging 3D face models. Given a face image
as input, our method will first estimate its lighting distribution. Then we
build an optimization process to refine the distribution. Finally, we generate
an illuminance-balanced face image from a single view. Experiments on the FiveK
dataset demonstrate that our method performs well and compares favorably with
other methods.
