A New Scheme for No Reference Image Quality Assessment

Aladine Chetouani (1) , Azeddine Beghdadi (2) , Abdesselim Bouzerdoum (3) , Mohamed Deriche (4)

1 Axe Image Vision
2 L2TI - Laboratoire de Traitement et Transport de l'Information
3 WoW - School of Electrical, Computer & Telecommunication Engineering
4 Electrical Engineering Department

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.

Mots clés: Image quality; Linear discriminant analysis; classifcation; TID image database

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Aladine Chetouani, Azeddine Beghdadi, Abdesselim Bouzerdoum, Mohamed Deriche. A New Scheme for No Reference Image Quality Assessment. 3rd International Conference on Image Processing Theory, Tools and Applications, Oct 2012, Istanbul, Turkey. pp.5. ⟨hal-00770569⟩