Image quality assessment employing joint structure-colour histograms as quality-aware features

Yong Ding, Ruizhe Deng, Xiaobao Shang
2017 Electronics Letters  
Image quality assessment is of fundamental importance for various image processing applications. A novel method is presented in which the joint occurrences of statistical local representation by log-Gabor filters and texture analysis by local tetra patterns and histograms of colour are considered as quality-aware features. Then the dissimilarities of these features between the distorted and reference images are quantified and mapped into quality score prediction by utilising a support vector
more » ... ression. Extensive experiments on LIVE, CSIQ and TID databases show that the proposed method is remarkably consistent with human perception and outperforms many state-of-the-art methods, and also it is robust across different distortion types and different databases.
doi:10.1049/el.2017.0900 fatcat:bkfaserxdfaxvbrxlsen6722pq