Calibration of the visual difference predictor for estimating visibility of JPEG2000 compression artifacts in CT images

Kil Joong Kim, Rafal Mantiuk, Kyoung Ho Lee, Wolfgang Heidrich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


Many visual difference predictors (VDPs) have used basic psychophysical data (such as ModelFest) to calibrate the algorithm parameters and to validate their performances. However, the basic psychophysical data often do not contain sufficient number of stimuli and its variations to test more complex components of a VDP. In this paper we calibrate the Visual Difference Predictor for High Dynamic Range images (HDR-VDP) using radiologists' experimental data for JPEG2000 compressed CT images which contain complex structures. Then we validate the HDR-VDP in predicting the presence of perceptible compression artifacts. 240 CT-scan images were encoded and decoded using JPEG2000 compression at four compression ratios (CRs). Five radiologists participated to independently determine if each image pair (original and compressed images) was indistinguishable or distinguishable. A threshold CR for each image, at which 50% of radiologists would detect compression artifacts, was estimated by fitting a psychometric function. The CT images compressed at the threshold CRs were used to calibrate the HDR-VDP parameters and to validate its prediction accuracy. Our results showed that the HDR-VDP calibrated for the CT image data gave much better predictions than the HDR-VDP calibrated to the basic psychophysical data (ModelFest + contrast masking data for sine gratings).

Original languageEnglish (US)
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Human Vision and Electronic Imaging XV
StatePublished - 2010
Externally publishedYes
EventHuman Vision and Electronic Imaging XV - San Jose, CA, United States
Duration: Jan 18 2010Jan 21 2010

Publication series

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


OtherHuman Vision and Electronic Imaging XV
Country/TerritoryUnited States
CitySan Jose, CA


  • CT image
  • Calibration
  • Human observer
  • Image compression
  • JPEG2000
  • Visual difference predictor

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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