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 spec...

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Bibliographic Details
Published inIntelligent Computing Theories and Application pp. 645 - 655
Main Authors Xiao, Limei, Li, Ce, Hu, Zhijia, Pan, Zhengrong
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Hypercomplex DCT
Multi-scale
Paralleled computation
Visual saliency
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Summary: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.
ISBN:3319422936
9783319422930
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-42294-7_58