2018
DOI: 10.1016/j.ins.2018.05.055
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Joint image coding and lossless data hiding in VQ indices using adaptive coding techniques

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Cited by 10 publications
(10 citation statements)
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“…The AIR was proposed by Hong et al [10] in 2018. The concept of the AIR technique comes from the palette reordering [45], [46], and it rearranges the standard indices to make their spatial correlations stronger.…”
Section: B Adaptive Index Rearrangement Techniquementioning
confidence: 99%
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“…The AIR was proposed by Hong et al [10] in 2018. The concept of the AIR technique comes from the palette reordering [45], [46], and it rearranges the standard indices to make their spatial correlations stronger.…”
Section: B Adaptive Index Rearrangement Techniquementioning
confidence: 99%
“…However, if we construct another form of index table in an appropriate way, for example, a difference-index table which made up of the differences between adjacent indices, more redundancy might generate from it. There are some existing schemes that utilize the difference values between adjacent indices to hide secret data in a standard-index table, such as [10], [23], [24], [43], [44]. In schemes [23], [24], [43], [44], the difference values are first generated by employing their distinct strategies.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…As examples of recent research in this area, it can be mentioned the works [131,132]. In [131], the method of embedding information in digital images compressed using the Absolute Moment Block Truncation Coding (AMBTC) method is presented.…”
Section: Digital Steganography Researchmentioning
confidence: 99%
“…To reduce distortion, quantization levels are recalculated, which, together with bitmaps, encode blocks of pixels after compression. The authors of [132] propose a novel lossless data hiding method for vector quantization (VQ) compressed images. This method combines index reordering and index prediction and reduces the size of compressed files.…”
Section: Digital Steganography Researchmentioning
confidence: 99%