Enhanced Autofocus Algorithm Using Robust Focus Measure and Fuzzy Reasoning

被引：89

作者：

Lee, Sang-Yong ^{[1
]}

Kumar, Yogendera ^{[1
]}

Cho, Ji-Man ^{[1
]}

Lee, Sang-Won ^{[2
]}

Kim, Soo-Won ^{[1
]}

机构：

[1] Korea Univ, Dept Elect Engn, Seoul 136713, South Korea

[2] Intel Corp, Hudson, MA 01749 USA

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY | 2008年 / 18卷 / 09期

关键词：

Autofocus (AF); focus measure; fuzzy reasoning; object detection;

D O I：

10.1109/TCSVT.2008.924105

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：

A new passive autofocus algorithm consisting of a robust focus measure for object detection and fuzzy reasoning for target selection is presented. The proposed algorithm first detects objects distributed in the image using a mid-frequency discrete cosine transform focus measure and then selects the target object through fuzzy reasoning with three fuzzy membership functions. The proposed algorithm is designed as full digital blocks and fabricated using 0.35-mu m CMOS technology. Experimental results obtained from various samples show that the present method is insensitive to Gaussian and impulsive noises and able to improve the quality of the image by focusing to the appropriate target object.

引用

页码：1237 / 1246

页数：10

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