Multi-view 3D CG image quality assessment for contrast enhancement based on S-CIELAB color space

Norifumi Kawabata, Masaru Miyao

Research output: Contribution to journalArticle

3 Citations (Scopus)


Previously, it is not obvious to what extent was accepted for the assessors when we see the 3D image (including multi-view 3D) which the luminance change may affect the stereoscopic effect and assessment generally. We think that we can conduct a general evaluation, along with a subjective evaluation, of the luminance component using both the S-CIELAB color space and CIEDE2000. In this study, first, we performed three types of subjective evaluation experiments for contrast enhancement in an image by using the eight viewpoints parallax barrier method. Next, we analyzed the results statistically by using a support vector machine (SVM). Further, we objectively evaluated the luminance value measurement by using CIEDE2000 in the S-CIELAB color space. Then, we checked whether the objective evaluation value was related to the subjective evaluation value. From results, we were able to see the characteristic relationship between subjective assessment and objective assessment.

Original languageEnglish
Pages (from-to)1448-1462
Number of pages15
JournalIEICE Transactions on Information and Systems
Issue number7
Publication statusPublished - Jul 2017



  • CIEDE2000
  • Double Stimulus Impairment Scale (DSIS)
  • Luminance
  • Multi-view 3D image
  • S-CIELAB color space
  • Support Vector Machine (SVM)

Cite this