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The paper is an extension of the Enhanced Neighbor Mean Interpolation (ENMI) scheme based data hiding from Chang et al., in hopes of raising the embedding capacity with limited image distortion. The scheme combines the advantages of ENMI scheme and the techniques of pixel shifting and direction modification in a reversible manner, to increase the embedding capacity, while maintaining satisfactory...
This paper is a two staged multi-layer reversible data hiding scheme based on Lagrange interpolation. Lagrange interpolation will cross applied on odd and even pixels to produce predicted images, and then histogram shifting modification will be applied to embed confidential data into the differences between predicted and original images. The experimental results show the quality of Lena image from...
In 2006, Zhang and Wang proposed the Exploiting Modification Direction method (EMD) technique, which has good embedding capacity (about 1.16bpp) and high image quality (about 52dB) in irreversible data hiding field. Later other scholars have continued making improvements on EMD to increase data embedding capacity. However, these methods do not possess reversibility. Therefore, this paper exploits...
Zhang et al. in 2006 proposed a data hiding technique called Exploiting Modification Direction (EMD) with good capacity and high image quality. Related follow-up improvements are proposed by other scholars to raise the change between pixel values thus increasing the capacity and without reversibility. This paper utilizes the high image quality feature of EMD to develop a reversible data hiding method...
Demosaicking interpolation and digital zooming are two significant techniques for the quality of enlarged full-color image in resource-constrained single chip devices. This paper proposes an effective demosaicking and zooming algorithm by referencing to the neighboring information. In addition to considering one direction neighboring information to estimate the missing value, the EDZ algorithm develops...
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