Dual Reversible Data Hiding in Encrypted Halftone Images Using Matrix Encoding

Author:

Kim Cheonshik1,Dao Nhu-Ngoc1ORCID,Jung Ki-Hyun2ORCID,Leng Lu3ORCID

Affiliation:

1. Department of Computer Engineering, Sejong University, Seoul 05006, Republic of Korea

2. Department of Software Convergence, Andong National University, Andong 36729, Republic of Korea

3. School of Software, Nanchang Hangkong University, Nanchang 330063, China

Abstract

Data hiding and reversible data hiding research has primarily focused on grayscale and color images, because binary and halftone images are prone to visual distortion caused by a small number of errors in pixel representation. As a result, reversible data hiding is more useful than halftone-based data hiding. This study proposes an investigation of encrypted halftone images based on dual reversible data hiding, which improves the reversibility and security of the image by utilizing a dual cover image. Since halftone images are adequately compressed, they are beneficial in low-channel-bandwidth environments. Hamming code (HC) (7,4) is applied to each block of the halftone image to hide the secret data, and two halftone images are recorded and sent to different receivers at the end of the embedding process. Recipients can use the proposed method and the two marked images to extract the message and recover the cover halftone image. The proposed data hiding method can enhance the quality of the decrypted image by appropriately increasing the block size, and conversely, sufficiently large amounts of data can be hidden by reducing the block size. The experimental results provide evidence of the effectiveness of the proposed method in terms of both image quality and the embedding rate.

Funder

National Research Foundation of Korea

National Natural Science Foundation of China

Technology Innovation Guidance Program Project

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

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