Open Access

Automatic Image Enhancement by Content Dependent Exposure Correction

  • S. Battiato1,
  • A. Bosco2,
  • A. Castorina2 and
  • G. Messina2
EURASIP Journal on Advances in Signal Processing20042004:613282

https://doi.org/10.1155/S1110865704404107

Received: 7 August 2003

Published: 29 September 2004

Abstract

We describe an automatic image enhancement technique based on features extraction methods. The approach takes into account images in Bayer data format, captured using a CCD/CMOS sensor and/or 24-bit color images; after identifying the visually significant features, the algorithm adjusts the exposure level using a "camera response"-like function; then a final HUE reconstruction is achieved. This method is suitable for handset devices acquisition systems (e.g., mobile phones, PDA, etc.). The process is also suitable to solve some of the typical drawbacks due to several factors such as poor optics, absence of flashgun, and so forth.

Keywords and phrases

Bayer pattern skin recognition features extraction contrast focus exposure correction

Authors’ Affiliations

(1)
Department of Mathematic and Informatics, University of Catania
(2)
STMicroelectronics

Copyright

© Battiato et al. 2004