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Context-Aware Image Compression

Author

Listed:
  • Jacky C K Chan
  • Ata Mahjoubfar
  • Claire L Chen
  • Bahram Jalali

Abstract

We describe a physics-based data compression method inspired by the photonic time stretch wherein information-rich portions of the data are dilated in a process that emulates the effect of group velocity dispersion on temporal signals. With this coding operation, the data can be downsampled at a lower rate than without it. In contrast to previous implementation of the warped stretch compression, here the decoding can be performed without the need of phase recovery. We present rate-distortion analysis and show improvement in PSNR compared to compression via uniform downsampling.

Suggested Citation

  • Jacky C K Chan & Ata Mahjoubfar & Claire L Chen & Bahram Jalali, 2016. "Context-Aware Image Compression," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-12, July.
    • Handle: RePEc:plo:pone00:0158201
    DOI: 10.1371/journal.pone.0158201
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    Cited by:

    1. Kangogo, Daniel & Dentoni, Domenico & Bijman, Jos, 2021. "Adoption of climate‐smart agriculture among smallholder farmers: Does farmer entrepreneurship matter?," Land Use Policy, Elsevier, vol. 109(C).
    2. Karalliyadda, S.M.C.B. & Kazunari, Tsuji & Fujimura, Miho, 2023. "Managing rain-fed uplands of cascaded tank village systems: What stakeholders really suggest?," Agricultural Systems, Elsevier, vol. 208(C).

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