Automatic Global Image Enhancement by Skin Dependent Exposure Correction

The proposed method describes an automatic exposure correction algorithm improved by a skin recognition technique. The approach analyzes the Bayer data, captured using a ccd/cmos sensor, or the corresponding color generated picture; after identifying the skin key features, the algorithm adjusts the exposure level using a 'camera response'-like function. This method aims to solve some of the typical drawbacks featured by handset devices (e.g. mobile phones) where several factors contribute to acquire bad-exposed pictures: poor optics, absence of flashgun, etc.