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Visible Distortion Predictors Based on Visual Attention in Color Images

  • Cho, Sang-Gyu (Department of Radio Communication Engineering, Kunsan National University) ;
  • Hwang, Jae-Jeong (Department of Radio Communication Engineering, Kunsan National University) ;
  • Kwak, Nae-Joung (Department of Information and Communication Engineering, Chungbuk National University)
  • Received : 2012.06.29
  • Accepted : 2012.08.01
  • Published : 2012.09.30

Abstract

An image attention model and its application to image quality assessment are discussed in this paper. The attention model is based on rarity quantification, which is related to self-information to attract the attention in an image. It is relatively simpler than the others but results in taking more consideration of global contrasts between a pixel and the whole image. The visual attention model is used to develop a local distortion predictor, named color visual differences predictor (CVDP), in color images in order to effectively detect luminance and color distortions.

Keywords

References

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