Title :
Intelligent autofocus with adaptive depth of field
Author :
Pu-Chuan Kang ; Huei-Yung Lin
Author_Institution :
Dept. of Electr. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
Abstract :
In this paper, we propose a technique for multiregion autofocusing. The objective is to make the objects of interest at the different distance locations well focused while maintaining the shallow depth of field. Based on the image sharpness analysis of interested regions, we determine the camera´s best lens position and largest aperture size such that the depth of field encompasses all objects selected by the user. Thus, in addition to emphasize the objects of interest in photography, our method can also reduce the exposure for image stabilization. Experiments with real scene images are presented.
Keywords :
cameras; digital photography; focusing; image processing; photography; aperture size; camera best lens position; image sharpness analysis; image stabilization; intelligent autofocus; multiregion autofocusing; photography; Apertures; Digital cameras; Focusing; Image edge detection; Lenses;
Conference_Titel :
Machine Vision Applications (MVA), 2015 14th IAPR International Conference on
Conference_Location :
Tokyo
DOI :
10.1109/MVA.2015.7153111