DING Haiyang, LI Zichen, YANG Yixian, YOU Fucheng, LIU Fuping. High Quality Data Hiding in Halftone Image Based on Block Conjugate[J]. Chinese Journal of Electronics, 2018, 27(1): 150-158. doi: 10.1049/cje.2017.10.004
Citation: DING Haiyang, LI Zichen, YANG Yixian, YOU Fucheng, LIU Fuping. High Quality Data Hiding in Halftone Image Based on Block Conjugate[J]. Chinese Journal of Electronics, 2018, 27(1): 150-158. doi: 10.1049/cje.2017.10.004

High Quality Data Hiding in Halftone Image Based on Block Conjugate

doi: 10.1049/cje.2017.10.004
Funds:  This research was supported by the Scientific Research Common Program of Beijing Municipal Commission of Education (No.KM201610015002, No.KM201510015009); the National Natural Science Foundation of China (No.61370188) and the Beijing City Board of Education Science and technology key project (No.KZ201710015010).
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  • Corresponding author: LI Zichen (corresponding author) was born in 1965, he received his Ph.D. degree in signal and information processing from Beijing University of Posts and Telecommunications. His current research interests include post quantum cryptography, homomorphic cryptosystems, digital signature, and design of cryptographic protocol and algorithm. (Email:lizichen@bigc.edu.cn)
  • Received Date: 2016-01-23
  • Rev Recd Date: 2016-10-18
  • Publish Date: 2018-01-10
  • This paper proposes a High quality data hiding in halftone image based on block conjugate (HQDHBC). We construct Least mean square filters (LMSF), and using LMSFs to evaluate the quality of halftone images. This paper proposes block conjugate property, and this property can be applied to hide a secret pattern. Therefore a data hiding method based on block conjugate can be proposed, and in this method two images should be divided into multiple blocks of M×N pixels, and in the corresponding block if the first M×N-1 pixels are conjugate or identical, the last pixel can implement normal halftone method instead of date hiding methods. Experimental results show that the proposed HQDHBC can be applied in gray-scale and color error diffused halftone images, and through implementing this method, not only the quality of halftone images can be improved, but also the Correct decoding rate (CDR) of revealed pattern can be guaranteed.
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