Automatic image enhancement by content dependent exposure correction

被引:25
作者
Battiato, S [1 ]
Bosco, A
Castorina, A
Messina, G
机构
[1] Univ Catania, Dept Math & Informat, I-95125 Catania, Italy
[2] STMicroelect, I-95121 Catania, Italy
关键词
Bayer pattern; skin recognition; features extraction; contrast; focus; exposure correction;
D O I
10.1155/S1110865704404107
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:1849 / 1860
页数:12
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