Papers › VSI: A Visual Saliency-Induced Index for Perceptual Image Quality Assessment
VSI: A Visual Saliency-Induced Index for Perceptual Image Quality Assessment
Lin Zhang, Ying Shen, Hongyu Li
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 distorted image. Second, when pooling the quality score, VS is employed as a weighting function to reflect the importance of a local region. The proposed IQA index is called visual saliency-based index (VSI). Several prominent computational VS models have been investigated in the context of IQA and the best one is chosen for VSI. Extensive experiments performed on four largescale benchmark databases demonstrate that the proposed IQA index VSI works better in terms of the prediction accuracy than all state-of-the-art IQA indices we can find while maintaining a moderate computational complexity. The MATLAB source code of VSI and the evaluation results are publicly available online at http://sse.tongji.edu.cn/linzhang/IQA/VSI/VSI.htm.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Full reference image quality assessment | DRIQ | VSI | PLCC | 0.8477 | #3 of 10 | Archive leaderboard | report |
| Full reference image quality assessment | DRIQ | VSI | SRCC | 0.8222 | #3 of 10 | Archive leaderboard | report |
| Full reference image quality assessment | ESPL | VSI | PLCC | 0.8726 | #4 of 11 | Archive leaderboard | report |
| Full reference image quality assessment | ESPL | VSI | SRCC | 0.8717 | #4 of 11 | Archive leaderboard | report |
| Full reference image quality assessment | KADID10K | VSI | SRCC | 0.8780 | #3 of 11 | Archive leaderboard | report |
| Full reference image quality assessment | TID2008 | VSI | PLCC | 0.8762 | #4 of 13 | Archive leaderboard | report |
| Full reference image quality assessment | TID2008 | VSI | SRCC | 0.8979 | #4 of 13 | Archive leaderboard | report |
| Video Quality Assessment | MSU FR VQA Database | VSI | KLCC | 0.7524 | #7 of 20 | Archive leaderboard | report |
| Video Quality Assessment | MSU FR VQA Database | VSI | SRCC | 0.9053 | #7 of 20 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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