Low-complexity perceptual jpeg2000 encoder for aerial images

Han Oh, Yookyung Kim, Michael W. Marcellin, Ali Bilginand, Francesc Aulí-Llinàs

Research output: Contribution to journalConference article

Abstract

A highly compressed image inevitably has visible compression artifacts. To minimize these artifacts, many compression algorithms exploit the varying sensitivity of the human visual system (HVS) to different frequencies. However, this sensitivity has typically been measured at the near-threshold level where distortion is just noticeable. Thus, it is unclear that the same sensitivity applies at the supra-threshold level where distortion is highly visible. In this paper, we measure the sensitivity of the HVS for several supra-threshold distortion lev- els based on our JPEG2000 distortion model. Then, a low-complexity JPEG2000 encoder using the measured sensitivity is described. For aerial images, the proposed encoder sig- nificantly reduces encoding time while maintaining superior visual quality compared with a conventional JPEG2000 encoder.

Original languageEnglish (US)
JournalProceedings of the International Telemetering Conference
Volume47
StatePublished - Dec 1 2011
Event47th Annual International Telemetering Conference and Technical Exhibition - Telemetry: Blending the Art with Science and Technology, ITC 2011 - Las Vegas, NV, United States
Duration: Oct 24 2011Oct 27 2011

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Keywords

  • Human visual system
  • JPEG2000
  • Low-complexity

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Instrumentation
  • Computer Networks and Communications
  • Signal Processing

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