Multi-scale Spectrum Visual Saliency Perception via Hypercomplex DCT

Based on the salient object of human visual perception inconsistent scale, this paper proposes a multi-scale spectrum visual saliency perception with hypercomplex discrete cosine transform. In hypercomplex image color space to build parallel computing model, the method use HDCT to extract local spectral feature in an image. Meanwhile, the sparse energy spectrum calculated by hypercomplex discrete cosine transform on local image region was taken as visual stimulation signal. Then a visual saliency measurement was taken on both this region and its neighbor regions. Finally, the multi-sacle normalization was on the visual saliency response. The subjective and objective experimental results on the public saliency perception datasets demonstrated that both the precision and time cost of the proposed approach were better than the other state-of the-art approaches.