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Super Resolution From Multiple Low Resolution Images

Author

Listed:
  • Florin Manaila

    ("Politehnica" University of Bucharest, 060042 Bucharest, Romania)

  • Costin-Anton Boiangiu

    ("Politehnica" University of Bucharest, 060042 Bucharest, Romania)

  • Ion Bucur

    ("Politehnica" University of Bucharest, 060042 Bucharest, Romania)

Abstract

Although the technology of optical instruments is constantly advancing, the capture of high resolution images is limited by both the shortcomings of the imaging devices and the law of physics (uncertainty principle applied onto photons or the wave-like theory of light). The current paper presents an algorithm for processing a set of images sharing the same subject with the purpose of extracting a higher resolution output image of the subject, using partial information from every one of the low resolutions samples in the input set.

Suggested Citation

  • Florin Manaila & Costin-Anton Boiangiu & Ion Bucur, 2014. "Super Resolution From Multiple Low Resolution Images," Romanian Economic Business Review, Romanian-American University, vol. 8(2), pages 316-322, December.
    • Handle: RePEc:rau:journl:v:8:y:2014:i:2:p:316-322
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    File URL: http://www.rebe.rau.ro/RePEc/rau/jisomg/WI14/JISOM-WI14-A10.pdf
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    Citations

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    Cited by:

    1. Costin-Anton Boiangiu & Marius-Vlad Cotofana & Alexandru Naiman & Cristian Lambru, 2016. "A Generalized Laplacian Pyramid Aimed At Image Compression," Romanian Economic Business Review, Romanian-American University, vol. 10(2), pages 327-335, December.
    2. Costin-Anton Boiangiu & Ionut-Adrian Nitu, 2016. "Automatic Image Resampling Filter Generation," Romanian Economic Business Review, Romanian-American University, vol. 10(2), pages 487-502, December.

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