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


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
EditorsAndrew G. Tescher
ISBN (Electronic)9781510603332
StatePublished - 2016
EventApplications of Digital Image Processing XXXIX - San Diego, United States
Duration: Aug 29 2016Sep 1 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


OtherApplications of Digital Image Processing XXXIX
Country/TerritoryUnited States
CitySan Diego


  • 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


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