Now showing items 1-5 of 9

  • Bi-level document image compression using layout information

    Inglis, Stuart J.; Witten, Ian H. (1996-01)
    Most bi-level images stored on computers today comprise scanned text, and their number is escalating because of the drive to archive large volumes of paper-based material electronically. These documents are stored using ...
  • Bi-level document image compression using layout information

    Inglis, Stuart J.; Witten, Ian H. (IEEE, 1996)
    Most bi-level images stored on computers today comprise scanned text, and are stored using generic bi-level image technology based either on classical run-length coding, such as the CCITT Group 4 method, or on modern schemes ...
  • Compression-based template matching

    Inglis, Stuart J.; Witten, Ian H. (Department of Computer Science, University of Waikato, 1993)
    Textual image compression is a method of both lossy and lossless image compression that is particularly effective for images containing repeated sub-images, notably pages of text (Mohiuddin et al., 1984; Witten et al., ...
  • Correcting English text using PPM models

    Teahan, W.J.; Inglis, Stuart J.; Cleary, John G.; Holmes, Geoffrey (Computer Science, University of Waikato, 1997-11)
    An essential component of many applications in natural language processing is a language modeler able to correct errors in the text being processed. For optical character recognition (OCR), poor scanning quality or extraneous ...
  • Displaying 3D images: algorithms for single image random dot stereograms

    Witten, Ian H.; Inglis, Stuart J.; Thimbleby, Harold W. (Department of Computer Science, University of Waikato, 1993)
    This paper describes how to generate a single image which, when viewed in the appropriate way, appears to the brain as a 3D scene. The image is a stereogram composed of seemingly random dots. A new, simple and symmetric ...