The Effect of Distortions on the Prediction of Visual Attention

Understand

Existing saliency models have been designed and evaluated for predicting the saliency in distortion-free images.

• However, in practice, the image quality is affected by a host of factors at several stages of the image processing pipeline such as acquisition, compression and transmission.
• Several studies have explored the effect of distortion on human visual attention; however, none of them have considered the performance of visual saliency models in the presence of distortion.
• Furthermore, given that one potential application of visual saliency prediction is to aid pooling of objective visual quality metrics, it is important to compare the performance of existing saliency models on distorted images.