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Adaptive image-smoothing using a coplanar matrix and its application to document image binarization

  • Lixin Fan
  • Liying Fan
  • Chew Lim Tan
Original Research Paper

Abstract. For document images corrupted by various kinds of noise, direct binarization images may be severely blurred and degraded. A common treatment for this problem is to pre-smooth input images using noise-suppressing filters. This article proposes an image-smoothing method used for prefiltering the document image binarization. Conceptually, we propose that the influence range of each pixel affecting its neighbors should depend on local image statistics. Technically, we suggest using coplanar matrices to capture the structural and textural distribution of similar pixels at each site. This property adapts the smoothing process to the contrast, orientation, and spatial size of local image structures. Experimental results demonstrate the effectiveness of the proposed method, which compares favorably with existing methods in reducing noise and preserving image features. In addition, due to the adaptive nature of the similar pixel definition, the proposed filter output is more robust regarding different noise levels than existing methods.

Keywords: Image smoothing – Document image binarization – Adaptive smoothing – Edge preserving 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Lixin Fan
    • 1
  • Liying Fan
    • 1
  • Chew Lim Tan
    • 1
  1. 1.School of Computing, National University of Singapore, Singapore 117543 SG

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