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Enhanced Autofocus Algorithm Using Robust Focus Measure and Fuzzy Reasoning

Authors
Lee, Sang-YongKumar, YogenderaCho, Ji-ManLee, Sang-WonKim, Soo-Won
Issue Date
9월-2008
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Autofocus (AF); focus measure; fuzzy reasoning; object detection
Citation
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, v.18, no.9, pp.1237 - 1246
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
Volume
18
Number
9
Start Page
1237
End Page
1246
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/122839
DOI
10.1109/TCSVT.2008.924105
ISSN
1051-8215
Abstract
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.
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