Low-complexity perceptual jpeg2000 encoder for aerial images

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

Low-complexity perceptual jpeg2000 encoder for aerial images

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

Research output: Contribution to journal › Conference article › peer-review

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 language	English (US)
Journal	Proceedings of the International Telemetering Conference
Volume	47
State	Published - 2011
Event	47th 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 2011 → Oct 27 2011

Keywords

Human visual system
JPEG2000
Low-complexity

ASJC Scopus subject areas

Electrical and Electronic Engineering
Instrumentation
Computer Networks and Communications
Signal Processing

Cite this

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title = "Low-complexity perceptual jpeg2000 encoder for aerial images",

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.",

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author = "Han Oh and Yookyung Kim and Marcellin, {Michael W.} and Ali Bilginand and Francesc Aul{\'i}-Llin{\`a}s",

year = "2011",

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journal = "Proceedings of the International Telemetering Conference",

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publisher = "International Foundation for Telemetering",

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T1 - Low-complexity perceptual jpeg2000 encoder for aerial images

AU - Oh, Han

AU - Kim, Yookyung

AU - Marcellin, Michael W.

AU - Bilginand, Ali

AU - Aulí-Llinàs, Francesc

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

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KW - JPEG2000

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M3 - Conference article

SN - 0884-5123

VL - 47

JO - Proceedings of the International Telemetering Conference

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ER -

Low-complexity perceptual jpeg2000 encoder for aerial images

Abstract

Keywords

ASJC Scopus subject areas

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