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Automatic Image Enhancement by Content Dependent Exposure Correction

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.

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Correspondence to S. Battiato.

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Battiato, S., Bosco, A., Castorina, A. et al. Automatic Image Enhancement by Content Dependent Exposure Correction. EURASIP J. Adv. Signal Process. 2004, 613282 (2004). https://doi.org/10.1155/S1110865704404107

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Keywords and phrases

  • Bayer pattern
  • skin recognition
  • features extraction
  • contrast
  • focus
  • exposure correction