• 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