Visibility of quantization errors in reversible JPEG2000

Feng Liu, Eze Ahanonu, Michael W. Marcellin, Yuzhang Lin, Amit Ashok, Ali Bilgin

Research output: Contribution to journalArticle

Abstract

Image compression systems that exploit the properties of the human visual system have been studied extensively over the past few decades. For the JPEG2000 image compression standard, all previous methods that aim to optimize perceptual quality have considered the irreversible pipeline of the standard. In this work, we propose an approach for the reversible pipeline of the JPEG2000 standard. We introduce a new methodology to measure visibility of quantization errors when reversible color and wavelet transforms are employed. Incorporation of the visibility thresholds using this methodology into a JPEG2000 encoder enables creation of scalable codestreams that can provide both near-threshold and numerically lossless representations, which is desirable in applications where restoration of original image samples is required. Most importantly, this is the first work that quantifies the bitrate penalty incurred by the reversible transforms in near-threshold image compression compared to the irreversible transforms.

Original languageEnglish (US)
Article number115812
JournalSignal Processing: Image Communication
Volume84
DOIs
StatePublished - May 2020

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Keywords

  • Human visual system
  • Image compression
  • Reversible JPEG2000 compression
  • Visibility threshold
  • Wavelet transform

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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