High performance reversible data hiding for block truncation coding compressed images

Reversible Data Hiding Scheme Using Adaptive Block Truncation Coding Based on an Edge-Based Quantization Approach

“…These information hiding schemes can be divided into two categories based on the subject that is embedded into a cover media. One is used for secret message transmission [1][2][3][4]6,7,[10][11][12][13][14][15][16][17][18][19] and the other is used for claim of ownership [5,8,9] which is also called watermark scheme. The cover media used to carry a secret message can be image, text, audio or video.…”

“…Currently, images are the primary media used to conceal secret messages because they can be easily found from the Internet. To embed a secret message into a cover image, there are three alternatives, including: spatial domain [1][2][3][4], frequency domain [5][6][7][8] and compression domain [9][10][11][12][13][14][15][16][17][18][19][20]. Spatial domain-based information hiding schemes conceal a secret message into a cover image by simply modifying pixel values of the cover image.…”

“…Among the above three types of information hiding schemes, frequency domain methods offer relatively higher protection compared to the others. Based on the reversibility feature of the proposed information hiding schemes, information hiding schemes can be further classified into those that are irreversible [1,2,5,6] and reversible [3,4,[7][8][9][10][11][12][14][15][16][17][18][19][20][25][26][27][28][29][30][31][32][33]. The former can only extract information that is embedded in the media.…”

“…Over the last few years, many hiding schemes designed for the compression domain have been proposed to reduce the transmission size of multimedia files during transmission and to increase the number of alternatives for cover media. Among these methods, many hiding schemes have been proposed based on block truncation coding (BTC) [14][15][16][17][18][19], which has been the most efficient and fastest compression method. In 2008, Chang et al presented an information hiding scheme based on BTC [14].…”

“…For example, if the secret bit is 1 then the high value and low value will be swapped with each other in the compression code, etc. In 2013, Sun et al presented a novel BTC-based reversible hiding scheme by adopting a joint neighbor coding technique to embed the secret data into quantization levels [16]. In 2015, Lin et al also proposed a reversible information hiding method based on BTC.…”