2005
DOI: 10.1007/11551492_26
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New Geometric Analysis of Spread-Spectrum Data Hiding with Repetition Coding, with Implications for Side-Informed Schemes

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Cited by 10 publications
(22 citation statements)
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“…Therefore, it is possible to build a scheme of a given (virtually, as high as possible), provided (24) admits a solution with . The fundamental equation can also be written as (25) with being the Laplacian of .…”
Section: Synthesismentioning
confidence: 99%
“…Therefore, it is possible to build a scheme of a given (virtually, as high as possible), provided (24) admits a solution with . The fundamental equation can also be written as (25) with being the Laplacian of .…”
Section: Synthesismentioning
confidence: 99%
“…Afterwards, we make a comparison with the vector LQIM [21] which uses non‐uniform quantisation and sphere‐hardening dither modulation (SHDM) [33] which utilises uniform quantisation levels. ‘Lena’ standard image of size 512 × 512 is used in the schemes.…”
Section: Resultsmentioning
confidence: 99%
“…Note that the direction of the signal vector x is not changed by embedding, which is advantageous from a perceptual point of view, as opposed to related methods like STDM. As is shown in [2], SHDM offers the same level of robustness against additive white noise as STDM.…”
Section: Shdmmentioning
confidence: 86%
“…Sphere Hardening Dither Modulation, or SHDM for short, was proposed by Balado in [2] and [3] as an alternative to STDM (Spread-Transform Dither Modulation), which was proposed in [11]. Both SHDM and STDM have in common that in order to embed a single bit b, a multidimensional host vector x is extracted from the cover work C 0 and modified using some dithered quantization function Q b , where different message bits lead to different dither values.…”
Section: Shdmmentioning
confidence: 99%
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