VSI: A Visual Saliency-Induced Index for Perceptual Image Quality Assessment
Nanjing University of Science and Technology · Tongji University
Abstract
Perceptual image quality assessment (IQA) aims to use computational models to measure the image quality in consistent with subjective evaluations. Visual saliency (VS) has been widely studied by psychologists, neurobiologists, and computer scientists during the last decade to investigate, which areas of an image will attract the most attention of the human visual system. Intuitively, VS is closely related to IQA in that suprathreshold distortions can largely affect VS maps of images. With this consideration, we propose a simple but very effective full reference IQA method using VS. In our proposed IQA model, the role of VS is twofold. First, VS is used as a feature when computing the local quality map of the…
Citation impact
- FWCI
- 45.47
- Percentile
- 100%
- References
- 59
Authors
3Topics & keywords
- Image quality
- Artificial intelligence
- Computer vision
- Computer science
- Perception
- Visual perception
- Visualization
- Image (mathematics)