Homomorphic Filtering for Radiographic Image Contrast Enhancement and Artifacts Elimination | SpringerLink
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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 328))

Abstract

The contrast of radiographic images is provided at physical level by anti-scatter grids and is usually further improved at image processing stage. The known contrast improvement methods are mainly based on image non-linear manipulations that may cause residual artifacts in processed images. In this paper an artifact-free approach is proposed for radiographic image filtering which is still an actual problem. The proposed algorithm is based on homomorphic equalizer design and application for image contrast enhancement, sharpening and artifacts elimination. Experimental results are discussed and concluded with description of advantages over existing approaches.

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Correspondence to Igor Belykh .

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Belykh, I. (2015). Homomorphic Filtering for Radiographic Image Contrast Enhancement and Artifacts Elimination. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 328. Springer, Cham. https://doi.org/10.1007/978-3-319-12012-6_46

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  • DOI: https://doi.org/10.1007/978-3-319-12012-6_46

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12011-9

  • Online ISBN: 978-3-319-12012-6

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