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.
For instance, Zhang et al. REF proposed that visual saliency was closely related to IQA problems due to the fact that supra-threshold distortions can largely affect saliency maps of images.
VSI: A Visual Saliency-Induced Index for Perceptual Image Quality Assessment
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Computer Science Medicine