Visually lossless coding for color aerial images using JPEG2000

Han Oh, Yookyung Kim, Michael W. Marcellin, Ali Bilgin

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

This paper describes a psychophysical experiment to measure visibility thresholds (VT) for quantization distortion in JPEG2000 and an associated quantization algorithm for visually lossless coding of color aerial images. The visibility thresholds are obtained from a quantization distortion model based on the statistical characteristics of wavelet coefficients and the deadzone quantizer of JPEG2000, and the resulting visibility thresholds are presented for the luminance component (Y) and two chrominance components (Cb and Cr). Using the thresholds, we have achieved visually lossless coding for 24-bit color aerial images at an average bitrate of 4.17 bits/pixels, which is approximately 30% of the bitrate required for numerically lossless coding.

Original languageEnglish (US)
JournalProceedings of the International Telemetering Conference
Volume45
StatePublished - 2009
Event45th Annual International Telemetering Conference and Technical Exhibition - Disruptive Technologies and Their Impact on Telemetry, ITC/USA 2009 - Las Vegas, NV, United States
Duration: Oct 26 2009Oct 29 2009

Keywords

  • Color aerial image
  • JPEG2000
  • Perceptual image coding
  • Visually lossless coding

ASJC Scopus subject areas

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

Fingerprint

Dive into the research topics of 'Visually lossless coding for color aerial images using JPEG2000'. Together they form a unique fingerprint.

Cite this