Steganography surpasses other mechanisms of securing data from potential threats. The
modern digital arena calls for robust information hiding techniques and, thus, it has always …

In this paper, a novel steganography algorithm based on an improved “Matrix Pattern”(MP)
method is presented. In this process, firstly, an RGB image is divided into the non …

In this paper, we propose a new method of non-adaptive LSB steganography in still images
toimprove the embedding efficiency from 2 to 8/3 random bits per one embedding change …

Coverless steganographic techniques are considered as reliable solutions for avoiding
steganalysis attacks. However, it demands massive shared databases and usually has low …

Subtractive pixel adjacency matrix (SPAM) features, introduced by Pevn'y et al. as a type of
Markov chain features, are widely used for blind steganalysis in the spatial domain. In this …

This work presents adaptive image steganography methods which locate suitable regions
for embedding by contourlet transform, while embedded message bits are carried in discrete …

This letter proposes a novel scheme for spatial steganalysis based on contrast of residuals
(CoR). After selecting complex blocks from an uncompressed image by a fluctuation …

Different steganography techniques have been presented based on RGB image as the
image is considered secure cover for hidden data. Specifically, this paper presents edge …

Pixel-value-differencing (PVD) is a well-known technique for content adaptive
steganography. By this technique, secret data are embedded into the differences of adjacent …

Through dynamic compensation of pixel values of the LSB (Least Significant Bit) embedded
image, this paper presents a novel LSB information hiding method against pixels Sample …