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Improved Lossless Data Hiding for JPEG Images Based on Histogram Modification

Yang Du1, Zhaoxia Yin1,2,*, Xinpeng Zhang3

Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University, Hefei, 230601, P.R. China.
Department of Computer Science, Purdue University, West lafayette, 47906, USA.
School of Communication and Information Engineering, Shanghai University, Shanghai 200072, P.R. China.

* Corresponding Author: Zhaoxia Yin. Email: email.

Computers, Materials & Continua 2018, 55(3), 495-507. 10.3970/cmc.2018.02440


This paper proposes a lossless and high payload data hiding scheme for JPEG images by histogram modification. The most in JPEG bitstream consists of a sequence of VLCs (variable length codes) and the appended bits. Each VLC has a corresponding RLV (run/length value) to record the AC/DC coefficients. To achieve lossless data hiding with high payload, we shift the histogram of VLCs and modify the DHT segment to embed data. Since we sort the histogram of VLCs in descending order, the filesize expansion is limited. The paper’s key contribution includes: Lossless data hiding, less filesize expansion in identical pay-load and higher embedding efficiency.


Cite This Article

Y. . Du, Z. . Yin and X. . Zhang, "Improved lossless data hiding for jpeg images based on histogram modification," Computers, Materials & Continua, vol. 55, no.3, pp. 495–507, 2018.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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