Comparison of Four Subjective Methods for Image Quality Assessment

By Rafał K. Mantiuk, A. Lewandowska, R. Mantiuk. 2012

312 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition, Social Psychology, Evaluation & Benchmarks

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Mohammad Norouzi
2. Jonathan Ho
3. Tim Salimans

In Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Ming-Hsuan Yang
3. David J. Fleet
4. Mohammad Norouzi
5. Dacheng Tao
6. Jitendra Malik
7. Trevor Darrell
8. Xiaogang Wang

In Evaluation & Benchmarks

1. William Chan
2. Mohammad Norouzi
3. David J. Fleet
4. Jonathan Ho
5. Tim Salimans
6. Chitwan Saharia

Citations in the corpus

• Image Super-Resolution via Iterative Refinement (2021, methodology): “While mean opinion score (MOS) is commonly used to measure image quality in this context, forced choice pairwise comparison has been found to be a more reliable method for such subjective quality assessments [69].”