Massive Online Crowdsourced Study of Subjective and Objective Picture Quality
The University of Texas at Austin
Abstract
Most publicly available image quality databases have been created under highly controlled conditions by introducing graded simulated distortions onto high-quality photographs. However, images captured using typical real-world mobile camera devices are usually afflicted by complex mixtures of multiple distortions, which are not necessarily well-modeled by the synthetic distortions found in existing databases. The originators of existing legacy databases usually conducted human psychometric studies to obtain statistically meaningful sets of human opinion scores on images in a stringently controlled visual environment, resulting in small data collections relative to other kinds of image analysis databases. Toward…
Citation impact
- FWCI
- 13.10
- Percentile
- 100%
- References
- 51
Authors
2- DGDeepti GhadiyaramCorresponding
The University of Texas at Austin
- ACAlan C. Bovik
The University of Texas at Austin
Topics & keywords
- Crowdsourcing
- Consistency (knowledge bases)
- Quality (philosophy)
- Variety (cybernetics)
- Image quality
- Image (mathematics)
- Visualization
- Perception