Abstract
Data hiding technology has achieved many technological developments through continuous research over the past 20 years along with the development of Internet technology and is one of the research fields that are still receiving attention. In the beginning, there were an intensive amount of studies on digital copyright issues, and since then, interest in the field of secret communications has been increasing. In addition, research on various security issues using this technology is being actively conducted. Research on data hiding is mainly based on images and videos, and there are many studies using JPEG and BMP in particular. This may be due to the use of redundant bits that are characteristic of data hiding techniques. On the other hand, block truncation coding-based images are relatively lacking in redundant bits useful for data hiding. For this reason, researchers began to pay more attention to data hiding based on block-cutting coding. As a result, many related papers have been published in recent years. Therefore, in this paper, the existing research on data hiding technology of images compressed by block-cut coding among compressed images is summarized to introduce the contents of research so far in this field. We simulate a representative methodology among existing studies to find out which methods are effective through experiments and present opinions on future research directions. In the future, it is expected that various data hiding techniques and practical applications based on modified forms of absolute moment block truncation coding will continue to develop.
Highlights
With the development of Internet technology, a large number of multimedia data are exchanged on the Internet
Hong [32] introduced a Data Hiding (DH) method based on Pixel Pair Matching (PPM) [33], which is originated from the Exploit Modification Direction (EMD) [26]
We briefly looked at the studies and analyzed their performance using simulations after classifying the various studies on Absolute Moment BTC (AMBTC)-based DH
Summary
With the development of Internet technology, a large number of multimedia data are exchanged on the Internet. Is a method of inserting data into the transformed coefficients after each block of the cover image is converted to a frequency domain. The lossy compression method can reduce the bandwidth in terms of content sharing of the Social Networking Service (SNS) platform, so it affects the overall performance of the system. For this reason, DH technology based on lossy compression is being actively studied, and among them, many papers on DH technology based on BTC are being researched and published.
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