Saliency detection is one of the most challenging problems in the fields of
image analysis and computer vision. Many approaches propose different
architectures based on the psychological and biological properties of the human
visual attention system. However, there is not still an abstract framework,
which summarized the existed methods. In this paper, we offered a general
framework for saliency models, which consists of five main steps:
pre-processing, feature extraction, saliency map generation, saliency map
combination, and post-processing. Also, we study different saliency models
containing each level and compare their performance together. This framework
helps researchers to have a comprehensive view of studying new methods.Comment: 5 pages 3 figure