• About
  • Policies
  • What is openaccess
  • Library
  • Contact
Advanced search
      View Item 
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
      • View Item
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Wavelet domain textual coding of Ottoman script images

      Thumbnail
      View / Download
      594.6 Kb
      Author
      Gerek, Ömer. N.
      Çetin, A. Enis
      Tewfik, A. H.
      Date
      1996-03
      Source Title
      SPIE Proceedings - Visual Communications and Image Processing '96
      Print ISSN
      0277-786X
      Publisher
      SPIE
      Pages
      568 - 578
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
      193
      views
      131
      downloads
      Abstract
      Image coding using wavelet transform, DCT, and similar transform techniques is well established. On the other hand, these coding methods neither take into account the special characteristics of the images in a database nor are they suitable for fast database search. In this paper, the digital archiving of Ottoman printings is considered. Ottoman documents are printed in Arabic letters. Witten et al. describes a scheme based on finding the characters in binary document images and encoding the positions of the repeated characters This method efficiently compresses document images and is suitable for database research, but it cannot be applied to Ottoman or Arabic documents as the concept of character is different in Ottoman or Arabic. Typically, one has to deal with compound structures consisting of a group of letters. Therefore, the matching criterion will be according to those compound structures. Furthermore, the text images are gray tone or color images for Ottoman scripts for the reasons that are described in the paper. In our method the compound structure matching is carried out in wavelet domain which reduces the search space and increases the compression ratio. In addition to the wavelet transformation which corresponds to the linear subband decomposition, we also used nonlinear subband decomposition. The filters in the nonlinear subband decomposition have the property of preserving edges in the low resolution subband image.
      Keywords
      Discrete cosine transforms
      Ottoman script
      Textual coding
      Color
      Database systems
      Efficiency
      Image compression
      Textures
      Wavelet transforms
      Image coding
      Permalink
      http://hdl.handle.net/11693/27725
      Published Version (Please cite this version)
      https://doi.org/10.1117/12.233272
      Collections
      • Department of Electrical and Electronics Engineering 3597
      Show full item record

      Browse

      All of BUIRCommunities & CollectionsTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsThis CollectionTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartments

      My Account

      Login

      Statistics

      View Usage StatisticsView Google Analytics Statistics

      Bilkent University

      If you have trouble accessing this page and need to request an alternate format, contact the site administrator. Phone: (312) 290 1771
      Copyright © Bilkent University - Library IT

      Contact Us | Send Feedback | Off-Campus Access | Admin | Privacy