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A Generalized Laplacian Pyramid Aimed At Image Compression

Author

Listed:
  • Costin-Anton Boiangiu

    (Politehnica University of Bucharest, Bucharest, Romania)

  • Marius-Vlad Cotofana

    (Politehnica University of Bucharest, Bucharest, Romania)

  • Alexandru Naiman

    (Politehnica University of Bucharest, Bucharest, Romania)

  • Cristian Lambru

    (Politehnica University of Bucharest, Bucharest, Romania)

Abstract

Image resampling is a process that involves a trade-off, between efficiency, smoothness and sharpness. Nevertheless, it is a process that we encounter frequently in our digital world: on the internet, for printing and scanning, in photography and television and even in astronomy, when observing distant galaxies. Image resampling is a mathematical technique used to create a new image, from the original one, which has a different width and/or height in pixels. Reducing the size of an image is called downsampling, while increasing its size is called upsampling. Upsampling an image, increases the number of pixels, but details that were not in the original one, cannot be created. As a result, images become blurry the more they get enlarged. When images are downsampled, information in the original images has to be discarded. This makes the new image appear sharper, even though it contains less information. As a downside, if an image is downsampled and upsampled, some of the original details will not get recovered.

Suggested Citation

  • Costin-Anton Boiangiu & Marius-Vlad Cotofana & Alexandru Naiman & Cristian Lambru, 2016. "A Generalized Laplacian Pyramid Aimed At Image Compression," Journal of Information Systems & Operations Management, Romanian-American University, vol. 10(2), pages 327-335, December.
    • Handle: RePEc:rau:jisomg:v:10:y:2016:i:2:p:327-335
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