Visually lossless compression based on JPEG2000 for efficient transmission of high resolution color aerial images

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Aerial image collections have experienced exponential growth in size in recent years. These high resolution images are often viewed at a variety of scales. When an image is displayed at reduced scale, maximum quantization step sizes for visually lossless quality become larger. However, previous visually lossless coding algorithms quantize the image with a single set of quantization step sizes, optimized for display at the full resolution level. This implies that if the image is rendered at reduced resolution, there are signicant amounts of extraneous information in the codestream. Thus, in this paper, we propose a method which effectively incorporates multiple quantization step sizes, for various display resolutions, into the JPEG2000 framework. If images are browsed from a remote location, this method can signicantly reduce bandwidth usage by only transmitting the portion of the codestream required for visually lossless reconstruction at the desired resolution. Experimental results for high resolution color aerial images are presented.

Original languageEnglish (US)
Title of host publicationProceedings of the International Telemetering Conference
Volume46
StatePublished - 2010
Event46th Annual International Telemetering Conference and Technical Exhibition - Overcoming Telemetry Obstacles with Technology, ITC/USA 2010 - San Diego, CA, United States
Duration: Oct 25 2010Oct 28 2010

Other

Other46th Annual International Telemetering Conference and Technical Exhibition - Overcoming Telemetry Obstacles with Technology, ITC/USA 2010
CountryUnited States
CitySan Diego, CA
Period10/25/1010/28/10

Fingerprint

Display devices
Antennas
Color
color
high resolution
Image resolution
Bandwidth
coding
bandwidth

Keywords

  • Human visual system.
  • J.P.I.P.
  • JPEG2000
  • Visually lossless coding

ASJC Scopus subject areas

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

Cite this

Visually lossless compression based on JPEG2000 for efficient transmission of high resolution color aerial images. / Oh, Han; Marcellin, Michael W; Bilgin, Ali.

Proceedings of the International Telemetering Conference. Vol. 46 2010.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Oh, H, Marcellin, MW & Bilgin, A 2010, Visually lossless compression based on JPEG2000 for efficient transmission of high resolution color aerial images. in Proceedings of the International Telemetering Conference. vol. 46, 46th Annual International Telemetering Conference and Technical Exhibition - Overcoming Telemetry Obstacles with Technology, ITC/USA 2010, San Diego, CA, United States, 10/25/10.
@inproceedings{3a5c08e4a6784b51b0cb226069f73b97,
title = "Visually lossless compression based on JPEG2000 for efficient transmission of high resolution color aerial images",
abstract = "Aerial image collections have experienced exponential growth in size in recent years. These high resolution images are often viewed at a variety of scales. When an image is displayed at reduced scale, maximum quantization step sizes for visually lossless quality become larger. However, previous visually lossless coding algorithms quantize the image with a single set of quantization step sizes, optimized for display at the full resolution level. This implies that if the image is rendered at reduced resolution, there are signicant amounts of extraneous information in the codestream. Thus, in this paper, we propose a method which effectively incorporates multiple quantization step sizes, for various display resolutions, into the JPEG2000 framework. If images are browsed from a remote location, this method can signicantly reduce bandwidth usage by only transmitting the portion of the codestream required for visually lossless reconstruction at the desired resolution. Experimental results for high resolution color aerial images are presented.",
keywords = "Human visual system., J.P.I.P., JPEG2000, Visually lossless coding",
author = "Han Oh and Marcellin, {Michael W} and Ali Bilgin",
year = "2010",
language = "English (US)",
volume = "46",
booktitle = "Proceedings of the International Telemetering Conference",

}

TY - GEN

T1 - Visually lossless compression based on JPEG2000 for efficient transmission of high resolution color aerial images

AU - Oh, Han

AU - Marcellin, Michael W

AU - Bilgin, Ali

PY - 2010

Y1 - 2010

N2 - Aerial image collections have experienced exponential growth in size in recent years. These high resolution images are often viewed at a variety of scales. When an image is displayed at reduced scale, maximum quantization step sizes for visually lossless quality become larger. However, previous visually lossless coding algorithms quantize the image with a single set of quantization step sizes, optimized for display at the full resolution level. This implies that if the image is rendered at reduced resolution, there are signicant amounts of extraneous information in the codestream. Thus, in this paper, we propose a method which effectively incorporates multiple quantization step sizes, for various display resolutions, into the JPEG2000 framework. If images are browsed from a remote location, this method can signicantly reduce bandwidth usage by only transmitting the portion of the codestream required for visually lossless reconstruction at the desired resolution. Experimental results for high resolution color aerial images are presented.

AB - Aerial image collections have experienced exponential growth in size in recent years. These high resolution images are often viewed at a variety of scales. When an image is displayed at reduced scale, maximum quantization step sizes for visually lossless quality become larger. However, previous visually lossless coding algorithms quantize the image with a single set of quantization step sizes, optimized for display at the full resolution level. This implies that if the image is rendered at reduced resolution, there are signicant amounts of extraneous information in the codestream. Thus, in this paper, we propose a method which effectively incorporates multiple quantization step sizes, for various display resolutions, into the JPEG2000 framework. If images are browsed from a remote location, this method can signicantly reduce bandwidth usage by only transmitting the portion of the codestream required for visually lossless reconstruction at the desired resolution. Experimental results for high resolution color aerial images are presented.

KW - Human visual system.

KW - J.P.I.P.

KW - JPEG2000

KW - Visually lossless coding

UR - http://www.scopus.com/inward/record.url?scp=84877986394&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84877986394&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84877986394

VL - 46

BT - Proceedings of the International Telemetering Conference

ER -