Technology of Information Security
|
App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 8
2493-2500

ETRN-based lossy encryption-then-compression scheme on color images with arbitrary compression ratio

Hu Juan1
Wang Chuntao1,2
Bian Shan1,2
1. College of Mathematics & Informatics, South China Agricultural University, Guangzhou 510642, China
2. Key Laboratory of Smart Agricultural Technology in Tropical South China, Ministry of Agriculture & Rural Affairs, Guangzhou 510642, China
DOI: 10.19734/j.issn.1001-3695.2022.12.0803

Abstract

Most of the ETC methods can only obtain several limited fixed compression ratios. However, arbitrary encryption compression ratios instead of limited fixed compression ratios are more suitable for practical requirements. To this end, this paper proposed a lossy compression algorithm for encrypted color images with arbitrary compression ratios. It combined the uniform and random downsampling to compress the encrypted images, obtaining arbitrary compression ratios of an encrypted image. The receiver received the compressed sequence of the encrypted image and obtained the decrypted image by decompression and decryption. The proposed scheme then characterized the lossy reconstruction of the original image from the decrypted image as an optimization problem with the downsampling compression-based constraint. This scheme designed a convolutional neural network-based image reconstruction model for lossy ETC to resolve this problem, which was denoted the ETRN. ETRN consisted of SFE, RIR, RCS, and DC. The experimental simulation results show that the proposed encrypted color image lossy compression algorithm can obtain excellent compression and reconstruction performance, which fully demonstrates the feasibility and effectiveness of this method.

Foundation Support

国家自然科学基金资助项目(62172165,61672242)
广东省基础与应用基础研究项目(2022A1515010325)
广州市基础和应用基础研究项目(202201010742)
广州市科技计划项目(202102020582)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.12.0803
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 8
Section: Technology of Information Security
Pages: 2493-2500
Serial Number: 1001-3695(2023)08-040-2493-08

Publish History

[2023-03-03] Accepted Paper
[2023-08-05] Printed Article

Cite This Article

胡娟, 王春桃, 边山. 基于ETRN具有任意压缩率的彩色加密图像有损压缩 [J]. 计算机应用研究, 2023, 40 (8): 2493-2500. (Hu Juan, Wang Chuntao, Bian Shan. ETRN-based lossy encryption-then-compression scheme on color images with arbitrary compression ratio [J]. Application Research of Computers, 2023, 40 (8): 2493-2500. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)