Study of subjective and objective quality assessment for screen content images

Xu WANG, Lei CAO, Yingying ZHU, Yun ZHANG, Jianmin JIANG, Sam KWONG

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

3 Citations (Scopus)


In this paper, we present the results of a recent large-scale subjective study of image quality on a collection of screen contents distorted by a variety of application-relevant processes. With the development of multi-device interactive multimedia applications, metrics to predict the visual quality of screen content images (SCIs) as perceived by subjects are becoming fundamentally important. For developing the objective image quality assessment (IQA) method, there is a need for large-scale public database with diversity of distorted types and scene contents, and available subjective scores of distorted SCIs. The resulting Immersive Media Laboratory screen content image quality database (IML-SCIQD) contains 1250 distorted SCIs from 25 reference SCIs with 10 distortion types. Each image was rated by 35 human observers, and the different mean opinion scores (DMOS) were obtained after data processing. The performance comparison of 17 state-of-the-arts, publicly available IQA algorithms are evaluated on the new database. The database will be available online in our project website.
Original languageEnglish
Title of host publication2017 IEEE International Conference on Image Processing: Proceedings
Number of pages5
ISBN (Electronic)9781509021758
ISBN (Print)9781509021765
Publication statusPublished - Sept 2017
Externally publishedYes
Event2017 IEEE International Conference on Image Processing (ICIP) - China National Convention Center, Beijing, China
Duration: 17 Sept 201720 Sept 2017


Conference2017 IEEE International Conference on Image Processing (ICIP)

Bibliographical note

This work was supported in part by the National Natural Science Foundation of China under Grant 61501299, 61672443, 31670553, 61602314, 61620106008 and 61471348, in part by the Guangdong Nature Science Foundation under Grant 2016A030310058 and 2016A030313043, in part by the Shenzhen Emerging Industries of the Strategic Basic Research Project under Grants JCYJ20150525092941043, JCYJ20160226191842793, JCYJ20130326105637578 and in part by the Project 2016049 supported by SZU R/D Fund.


  • Image Quality Assessment
  • Screen content image


Dive into the research topics of 'Study of subjective and objective quality assessment for screen content images'. Together they form a unique fingerprint.

Cite this