articleJun 1, 2007Closed access

Saliency Detection: A Spectral Residual Approach

Shanghai Jiao Tong University

Indexed incrossref

Abstract

The ability of human visual system to detect visual saliency is extraordinarily fast and reliable. However, computational modeling of this basic intelligent behavior still remains a challenge. This paper presents a simple method for the visual saliency detection. Our model is independent of features, categories, or other forms of prior knowledge of the objects. By analyzing the log-spectrum of an input image, we extract the spectral residual of an image in spectral domain, and propose a fast method to construct the corresponding saliency map in spatial domain. We test this model on both natural pictures and artificial images such as psychological patterns. The result indicate fast and robust saliency detection…

Citation impact

3,422
total citations
FWCI
51.98
Percentile
100%
References
28
Citations per year

Authors

2

Topics & keywords

Keywords
  • Residual
  • Artificial intelligence
  • Computer science
  • Construct (python library)
  • Pattern recognition (psychology)
  • Computer vision
  • Human visual system model
  • Image (mathematics)
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