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An Image Compression Scheme Based On Laplacian Pyramids

Author

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  • Catalin Ispas

    (Politehnica University of Bucharest, Bucharest, Romania)

  • Costin-Anton Boiangiu

    (Politehnica University of Bucharest, Bucharest, Romania)

Abstract

In this paper, we propose an image compression scheme based on the Laplacian image pyramids. First, the image is split into four sub-images repeatedly, in order to find an optimal split position based on their variance. The split point slides between a starting point and ending point and it's stored at every step. After finding the optimal split point, the four sections determined by it are used to build four image pyramids, one for each sub-image. The data of each pyramid is stored in a custom file format and is compressed using BZ2.

Suggested Citation

  • Catalin Ispas & Costin-Anton Boiangiu, 2017. "An Image Compression Scheme Based On Laplacian Pyramids," Journal of Information Systems & Operations Management, Romanian-American University, vol. 11(2), pages 350-358, December.
    • Handle: RePEc:rau:jisomg:v:11:y:2017:i:2:p:350-358
    DOI: 10.5281/zenodo.21826081
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