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A MDV - Based approach for appearance enhancement of historical images

In: Automation, Communication and Cybernetics in Science and Engineering 2011/2012

Author

Listed:
  • Mohammad Alfraheed
  • Ahmed Alamouri
  • Sabina Jeschke

    (RWTH Aachen University, IMA/ZLW)

Abstract

The approach based on the Mahalanobis Distance Value (MDV) is introduced for appearance enhancement of objects included in images; and especially for study cases dealing with historical images. In those cases, this approach allows an automatically reducing of the noise pixels and distortion parameters associated with an image. First of all, an image is divided into Seed Regions (SRs) based on watershed transformation. Each SR created is divided into non-overlapping subregions based on the Intensity Values (IVs) associated with (MDV). Subregions which have the same MDV and different intensity values have to be separated. Therefore, the subregion with the minimum MDV is considered as Reference Partition (RP) used for the separation process. IVs of a final generated subregion are replaced by the IV which has the largest frequency associated with. As a result, each subregion takes a new color which is relatively close to its original color but more clear and low gradient. The performance of the MDV-based approach is expressed through a comparison to other approaches used for appearance enhancement of images (like: Gaussian filter).

Suggested Citation

  • Mohammad Alfraheed & Ahmed Alamouri & Sabina Jeschke, 2013. "A MDV - Based approach for appearance enhancement of historical images," Springer Books, in: Sabina Jeschke & Ingrid Isenhardt & Frank Hees & Klaus Henning (ed.), Automation, Communication and Cybernetics in Science and Engineering 2011/2012, edition 127, pages 545-557, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-33389-7_43
    DOI: 10.1007/978-3-642-33389-7_43
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