The aim of this project is to apply a two-level degradation algorithm on 10 images (JPEG compression).
After applying this algorithm, some users (24) were asked to give their personal opinion (opinion score, OS) on the quality of such damaged images (module link).
Subsequently, some statistics were automatically made on these obtained data.
Finally, the results are studied in depth, to better understand why some images have confused most users.
Some statistic results
This table shows for each image its MOS (μ, mean opinion score) and variance (σ2).
Moreover, for each impairment group (original, imp1, imp2) is performed its overall MOS and variance.
This graph shows the same results discussed in the previous table, in a different way (through a multi-line graph).
We can see that none of this images has a strange behaviour in its MOS
(it means MOSimp2 < MOSimp1 < MOSoriginal).
Presentation link
Amatofrancesco99/Image-compression-and-subjective-quality-assessment
The aim is to apply a degradation algorithm on 10 images (JPEG compression), ask some users their personal opinion on the quality of that impaired images and perform some statistics on obtained data.
PythonMIT
