基于对立色与显著区域的紧凑图像哈希算法

doi:10.3969/j.issn.0255-8297.2019.05.010

Abstract

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

CLC Number:

TP391

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.

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Compact Image Hashing Algorithm Based on Opposite Color and Salient Region

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