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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 6
1900-1906

Robust image hashing algorithm based on image energy

Yuan Xiaoran1
Zhao Yan1,2
1. College of Electronics & Information Engineering, Shanghai University of Electric Power, Shanghai 200120, China
2. Guangxi Key Laboratory of Multi-Source Information Mining & Security, Guangxi Normal University, Guilin Guangxi 541004, China
DOI: 10.19734/j.issn.1001-3695.2020.07.0210

Abstract

In order to improve the classification performance and operation efficiency of the hash algorithm, this paper proposed an image hash algorithm based on gradient change feature and energy features. Firstly, the algorithm preprocessed the input image to obtain a secondary image, and used the Sobel operator to calculate the x-axis and y-axis gradient values of the red channel, green channel, and blue channel images of the secondary image. It added the gradient values of the images to obtain the final gradient image. Then it used the multi-directional change information of the gradient image amplitude as the gradient feature, and used the energy values of all image subblocks as the energy features. Finally, it combined and scrambled the gradient feature and energy features of the image to generate the final hash sequence. The experimental results show that: the discrimination and robustness of the proposed algorithm can achieve a good trade-off; compared with the latest and excellent hash algorithms, this algorithm has best ROC curve and the shortest average running time 0.0242 s, and in the comparison experiment of copy detection, the R-P curve of the proposed algorithm is the best.

Foundation Support

国家自然科学基金资助项目(61802250)
广西多源信息挖掘与安全重点实验室开放基金资助项目(MIMS18-04)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.07.0210
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 6
Section: Technology of Graphic & Image
Pages: 1900-1906
Serial Number: 1001-3695(2021)06-057-1900-07

Publish History

[2021-06-05] Printed Article

Cite This Article

袁晓冉, 赵琰. 基于图像能量的稳健图像哈希算法 [J]. 计算机应用研究, 2021, 38 (6): 1900-1906. (Yuan Xiaoran, Zhao Yan. Robust image hashing algorithm based on image energy [J]. Application Research of Computers, 2021, 38 (6): 1900-1906. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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