中文

Journal of Applied Sciences >

2019 , Vol. 37 >Issue 5: 691 - 703

DOI: https://doi.org/10.3969/j.issn.0255-8297.2019.05.010

Special Issue: Information Security of Multimedia

Compact Image Hashing Algorithm Based on Opposite Color and Salient Region

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  • 1. College of Electronics & Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China;
    2. Guangxi Key Lab of Multi-source Information Mining & Security, Guangxi Normal University, Guilin 541004, Guangxi Province, China

Received date: 2019-07-26

  Revised date: 2019-07-30

  Online published: 2019-10-18

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Abstract

In order to improve the recognition ability of algorithms by utilizing the color and local information of the image effectively, this paper proposes an image hashing algorithm based on color information and salient region. By reprocessing the input image, the proposed algorithm first obtains the color opponents' components and brightness components from the image. Then extracts the color features from the color opposition and the robust features of the salient areas from the image according to the visual attention weight matrix. Finally, the algorithm generates the final hashby combining and scrambling all these features. Experimental results show that the proposed algorithm performs with better image classification, shorter hash length and less computing time than the existing hash algorithms. Meanwhile, it also performs a good recognition ability in tampering detection application.

Key words： color opponent component; brightness component; visual attention; tampering detection

Cite this article

ZHAO Yan, ZHOU Xiaowei, SHEN Qi . Compact Image Hashing Algorithm Based on Opposite Color and Salient Region[J]. Journal of Applied Sciences, 2019 , 37(5) : 691 -703 . DOI: 10.3969/j.issn.0255-8297.2019.05.010

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