DocumentCode :
2744436
Title :
A New Auto-Focusing Method Based on WBDCT for Many Object Situations
Author :
Han, Ke ; Jiang, Xue-mei ; Quan Feng ; Zhu, Xiu-chang
Author_Institution :
Minist. of Public Security, Inst. of Forensic Sci., Beijing
fYear :
2008
fDate :
6-8 Aug. 2008
Firstpage :
481
Lastpage :
484
Abstract :
There are two situations in auto focusing: one is the long-object-distance situation; the other is the long-short-object-distance situation. The curve of image clarity evaluation function under the long-short-object-distance situation usually has multiple peaks. A new method based on weighted blocking discrete cosine transform (WBDCT) is proposed for evaluating the image clarity in this paper. In the method, images are divided into some blocks of the same size. Then, each block is given the corresponding weighted value and is performed by discrete cosine transform (DCT). Finally, the clarity evaluation function is calculated. The method is tested in the long-object-distance situation and the long-short-object-distance situation, respectively. Experimental results indicate that the proposed method can effectively focus the images under the two situations.
Keywords :
discrete cosine transforms; focusing; image processing; object detection; WBDCT; auto-focusing method; image clarity evaluation function; long-object-distance situation; long-short-object-distance situation; weighted blocking discrete cosine transform; Artificial intelligence; Discrete cosine transforms; Distributed computing; Educational institutions; Focusing; Forensics; Frequency; Information security; Lenses; Software engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2008. SNPD '08. Ninth ACIS International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-0-7695-3263-9
Type :
conf
DOI :
10.1109/SNPD.2008.79
Filename :
4617417
Link To Document :
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