Visibility thresholds for visually lossy JPEG2000

Feng Liu, Yuzhang Lin, Eze L. Ahanonu, Michael W Marcellin, Amit Ashok, Elizabeth A Krupinski, Ali Bilgin

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

Abstract

There has been growing interest in using visual quality metrics for image compression. Recently, Han et. al. proposed a method for visually lossless compression using JPEG2000. In their method, visibility thresholds are experimentally measured and incorporated into a JPEG2000 encoder to control the errors introduced by quantization. In this work, we extend the work of Han et. al. to visually lossy regime. A series of Just Noticeable Differences are measured using pscyhovisual experiments that are conducted based on the quantization distortion model introduced by Han et. al. These measurements are used to build a perceptual visual quality model which is incorporated into a JPEG2000 encoder. The proposed encoder yields JPEG2000 Part I compliant codestreams at varying visual quality levels.

Original languageEnglish (US)
Title of host publicationApplications of Digital Image Processing XXXIX
PublisherSPIE
Volume9971
ISBN (Electronic)9781510603332
DOIs
StatePublished - 2016
EventApplications of Digital Image Processing XXXIX - San Diego, United States
Duration: Aug 29 2016Sep 1 2016

Other

OtherApplications of Digital Image Processing XXXIX
CountryUnited States
CitySan Diego
Period8/29/169/1/16

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Keywords

  • Human visual system
  • JPEG2000
  • Just Noticeable Difference
  • Visibility threshold

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Liu, F., Lin, Y., Ahanonu, E. L., Marcellin, M. W., Ashok, A., Krupinski, E. A., & Bilgin, A. (2016). Visibility thresholds for visually lossy JPEG2000. In Applications of Digital Image Processing XXXIX (Vol. 9971). [99711P] SPIE. https://doi.org/10.1117/12.2238411