Circular-ELM for the reduced-reference assessment of perceived image quality

Supporting visual quality assessment with machine learning

A-two layer neural system for reduced-reference visual quality assessment

Efficient neural-network-based no-reference approach to an overall quality metric for JPEG and JPEG2000 compressed images

Interactions of visual attention and quality perception

Interactions of visual attention and quality perception

Comparing subjective image quality measurement methods for the creation of public databases

Color distribution information for the reduced-reference assessment of perceived image quality

No-Reference Image Quality Assessment Based on Localized Gradient Statistics: Application to JPEG and JPEG2000

Reduced-reference assesments of perceived quality by exploiting color information

How to apply spatial saliency into objective metrics for JPEG compressed images?

Co-occurence matrices for the quality assessment of coded images

Building neural systems for no-reference quality assessment

Objective quality assessment of displayed images by using neural networks