A new scheme for no reference image quality assessment

Aladine Chetouani*, Azeddine Beghdadi, Abdesselim Bouzerdoum, Mohamed Deriche

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

In this paper, we propose to overcome one of the limitations of No Reference (NR) Image Quality Metrics (IQMs). Indeed, this kind of metrics is generally distortion-based and can be used only for a specific degradation such as ringing, blur or blocking. We propose to detect and identify the type of the degradation contained in the image before quantifying its quality. The degradation type is here identified using a Linear Discriminant Analysis (LDA) classifier. Then, the NR-IQM is selected according to the degradation type. We focus our work on the more common artefacts and degradations: blocking, ringing, blur and noise. The efficiency of the proposed method is evaluated in terms of correct classification across the considered degradations and artefacts.

Original languageEnglish
Title of host publication2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012
Pages270-274
Number of pages5
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012 - Istanbul, Turkey
Duration: 15 Oct 201218 Oct 2012

Publication series

Name2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012

Conference

Conference2012 3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012
Country/TerritoryTurkey
CityIstanbul
Period15/10/1218/10/12

Keywords

  • Image quality
  • Linear discriminant analysis
  • TID image database
  • classifcation

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