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Mrc - The Proposed Document Image Compression Scheme

Author

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  • Costin-Anton Boiangiu

    (Politehnica University of Bucharest, Bucharest, Romania)

  • Luiza Grigoras

    (Politehnica University of Bucharest, Bucharest, Romania)

Abstract

In this part we propose a new MRC compression scheme, based on k-means clustering for image decomposition into layers and on image interpolation and resampling for filling in sparse layers. This scheme also uses JPEG2000 for the actual compression of the foreground and background layers and JBIG2 for mask compression. Additionally, more than 30 resampling filter functions representing three main filter families (polynomial, exponential and windowed-sinc) have been implemented and their effects on this compression scheme analyzed. From the best ones selected, several conclusions and recommendations have been derived, based on an image quality analysis using PSNR and OCR mean text confidence.

Suggested Citation

  • Costin-Anton Boiangiu & Luiza Grigoras, 2017. "Mrc - The Proposed Document Image Compression Scheme," Journal of Information Systems & Operations Management, Romanian-American University, vol. 11(2), pages 219-231, December.
    • Handle: RePEc:rau:jisomg:v:11:y:2017:i:2:p:219-231
    DOI: 10.5281/zenodo.21826035
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