NDLI: High Quality Data Hiding in Halftone Image Based on Block Conjugate

Content Provider	IET Digital Library
Author	G, Haiyang D I N I, Zichen L G, Yixian Y A N U, Fucheng Y O U, Fuping L I
Abstract	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.
Starting Page	150
Ending Page	158
Page Count	9
ISSN	10224653
Volume Number	27
e-ISSN	20755597
Issue Number	Issue 1, Jan (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/27/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2017.10.004
Journal	Chinese Journal of Electronics
Publisher Date	2018-01-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	Block Conjugate CDR Computer Vision And Image Processing Technique Correct Decoding Rate Data Encapsulation Data Hiding Filtering Method in Signal Processing Gray-scale Color Error Diffused Halftone Image HQDHBC Image And Video Coding Image Coding Image Filtering Interpolation And Function Approximation Least Mean Square Filter Least Mean Squares Method LMSF Numerical Analysis
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

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