Abstract
Seamlessly integrating image compression technique and secret data hiding technique into a single procedure for security and efficient data transmission is a novel research issue in modern, decentralized digital communication environments. The first joint data hiding and compression (JDHC) scheme on block truncation coding (BTC) compression domain is presented in this paper. In the compressing and embedding procedure, for the complex blocks, modified block truncation coding (MBTC) is utilized to embed secret data and compress blocks simultaneously, while further controlling the visual distortion that is caused during data embedding. For the smooth blocks, according to the current embedding bit, either image inpainting or block search order coding (BSOC) is used to embed secret data and compress blocks simultaneously with maintaining acceptable compression performance. According to the image compression codes that are provided as output, image decompression and secret bits extraction procedures can be conducted simultaneously. Experimental results indicate that outstanding compression bit rate can be achieved by the proposed JDHC scheme with satisfactory visual quality and hiding capacity.
Highlights
For efficient data transmission and information communication through the new-media oriented modern digital communication environments, compression techniques have become critical issues in both academia and industry [1]
The comparison results of our proposed scheme, the representative block truncation coding (BTC)-based compression scheme [8], traditional BTC-based data hiding schemes [15], and vector quantization (VQ)-based joint data hiding and compression (JDHC) scheme [19] clearly demonstrate that our proposed scheme provided the superior performance
This paper presents the first JDHC scheme designed for block truncation coding (BTC) compression domain
Summary
For efficient data transmission and information communication through the new-media oriented modern digital communication environments, compression techniques have become critical issues in both academia and industry [1]. JPEG is based on frequency domain, which can transform digital images into bit-streams with good compression rate, but with the cost of low compression efficiency [32]. Compared with conventional BTC, better reconstructed image visual quality could be achieved under the bit rate of 2bpp. Another critical issue of the information-oriented society is how to maintain the confidentiality of secret information during transmission for security and privacy protection. Traditional cryptographic algorithms encrypt the secret information into cipher text; the meaningless cipher text would attract the suspicion of malicious attackers To reduce this possibility, many data hiding techniques have been presented in the past two decades [10], [11].
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