Multi-component Document Image Coding Using Regions-of-Interest

  • Xiao Wei Yin
  • Andy C. Downton
  • Martin Fleury
  • J. He
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3163)

Abstract

Region-of-Interest (ROI) techniques are often utilized in natural still-image coding standards such as JPEG2000 [1]. In contrast, document image coding typically adopts multi-layer methods [2], using a carefully selected algorithm for each layer to optimize overall performance. In this paper, an ROI-based method is proposed for multi-component document image coding, where rectangular textual ROI’s are easily extracted using standard document image analysis techniques. Compared to multi-layer methods, the method is simpler and scalable, while preserving comparable visual quality at equivalent PSNR.

Keywords

Document Image Text Region Mask Layer Background Layer Document Analysis System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Xiao Wei Yin
    • 1
  • Andy C. Downton
    • 1
  • Martin Fleury
    • 1
  • J. He
    • 1
  1. 1.Department of Electronic Systems EngineeringUniversity of EssexUK

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