Dual image reversible data hiding based on modified LSB matching method

Hsien Wen Tseng, Hui Xin Lu, Hui-Shih Leng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Lu et al. proposed a dual imaging-based reversible hiding technique using LSB matching in 2015, two pixels as a group and LSB matching method is used to embed the secret message bits into two images. In order to recover the original image, seven rules are applied to modify the cover pixels. However, the method resulted in changes to pixel values increasingly and the stego image quality is affected. Therefore, in order to reduce image distortion, the proposed method uses a modified LSB matching method to embed secret message bits into dual image. The embedding only increases/decreases the cover image pixel values either by one or leaves them unmodified. Additionally the original image can be recovered from dual image. The experimental results show that the proposed method has better image quality than that of Lu et al.’s. The image hiding capacity is also a little higher than that of Lu et al.’s.

Original languageEnglish
Title of host publicationRecent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
EditorsPei-Wei Tsai, Akinori Ito, Lakhmi C. Jain, Lakhmi C. Jain, Jeng-Shyang Pan, Lakhmi C. Jain
PublisherSpringer Science and Business Media Deutschland GmbH
Pages256-263
Number of pages8
ISBN (Print)9783030037444
DOIs
Publication statusPublished - 2019 Jan 1
Event14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018 - Sendai, Japan
Duration: 2018 Nov 262018 Nov 28

Publication series

NameSmart Innovation, Systems and Technologies
Volume109
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Other

Other14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018
CountryJapan
CitySendai
Period18-11-2618-11-28

Fingerprint

Pixels
Image quality
Imaging techniques
Matching method

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Computer Science(all)

Cite this

Tseng, H. W., Lu, H. X., & Leng, H-S. (2019). Dual image reversible data hiding based on modified LSB matching method. In P-W. Tsai, A. Ito, L. C. Jain, L. C. Jain, J-S. Pan, & L. C. Jain (Eds.), Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (pp. 256-263). (Smart Innovation, Systems and Technologies; Vol. 109). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-03745-1_32
Tseng, Hsien Wen ; Lu, Hui Xin ; Leng, Hui-Shih. / Dual image reversible data hiding based on modified LSB matching method. Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing. editor / Pei-Wei Tsai ; Akinori Ito ; Lakhmi C. Jain ; Lakhmi C. Jain ; Jeng-Shyang Pan ; Lakhmi C. Jain. Springer Science and Business Media Deutschland GmbH, 2019. pp. 256-263 (Smart Innovation, Systems and Technologies).
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abstract = "Lu et al. proposed a dual imaging-based reversible hiding technique using LSB matching in 2015, two pixels as a group and LSB matching method is used to embed the secret message bits into two images. In order to recover the original image, seven rules are applied to modify the cover pixels. However, the method resulted in changes to pixel values increasingly and the stego image quality is affected. Therefore, in order to reduce image distortion, the proposed method uses a modified LSB matching method to embed secret message bits into dual image. The embedding only increases/decreases the cover image pixel values either by one or leaves them unmodified. Additionally the original image can be recovered from dual image. The experimental results show that the proposed method has better image quality than that of Lu et al.’s. The image hiding capacity is also a little higher than that of Lu et al.’s.",
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Tseng, HW, Lu, HX & Leng, H-S 2019, Dual image reversible data hiding based on modified LSB matching method. in P-W Tsai, A Ito, LC Jain, LC Jain, J-S Pan & LC Jain (eds), Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing. Smart Innovation, Systems and Technologies, vol. 109, Springer Science and Business Media Deutschland GmbH, pp. 256-263, 14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018, Sendai, Japan, 18-11-26. https://doi.org/10.1007/978-3-030-03745-1_32

Dual image reversible data hiding based on modified LSB matching method. / Tseng, Hsien Wen; Lu, Hui Xin; Leng, Hui-Shih.

Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing. ed. / Pei-Wei Tsai; Akinori Ito; Lakhmi C. Jain; Lakhmi C. Jain; Jeng-Shyang Pan; Lakhmi C. Jain. Springer Science and Business Media Deutschland GmbH, 2019. p. 256-263 (Smart Innovation, Systems and Technologies; Vol. 109).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Tseng HW, Lu HX, Leng H-S. Dual image reversible data hiding based on modified LSB matching method. In Tsai P-W, Ito A, Jain LC, Jain LC, Pan J-S, Jain LC, editors, Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing. Springer Science and Business Media Deutschland GmbH. 2019. p. 256-263. (Smart Innovation, Systems and Technologies). https://doi.org/10.1007/978-3-030-03745-1_32