Data hiding, a form of steganography, embeds data into digital media for the purpose of identification, annotation, and copyright. Seve constraints affect this process: the quantity of data to be hidden, the need for invariance of the data under cond
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Attacks to biometric data are the primary danger to the self-security of biometrics. To improve the iris feature template data security, a data hiding approach based on bit streams is proposed, in which an iris feature template is embedded into a fac
Recently, various efficient reversible data-hiding schemes based on pixel value ordering have been proposed for embedding messages into high-fidelity images. In these schemes, after dividing the cover image into equal-sized blocks, the pixels within
This paper proposes a reversible data hiding scheme for natural images. A hybrid prediction mechanism is utilized in order to produce prediction errors as many as possible. The cover image excluding a seed pixel is partitioned into four non-overlappi
Reversible data hiding has been a hot research topic because it can recover both the host media and hidden data without distortion. Because most digital images are stored and transmitted in compressed forms, such as JPEG, vector quantization, and blo
In this study, a method of using the watermark to enhance the security of the data hiding is proposed for H.264/AVC. The DCT coefficients in Intra-frames are modified to embed the watermark while the secrete information is inserted by modulating the
