This paper proposes a steganalysis technique for both grayscale and color images. It uses
the feature vectors derived from gray level co-occurrence matrix (GLCM) in spatial domain …

In this paper, we describe a novel spatial domain method for steganography in RGB images
where a secret message is embedded in the blue layer of certain blocks. In this algorithm …

Most state-of-the-art binary image steganographic techniques only consider the flipping
distortion according to the human visual system, which will be not secure when they are …

In this paper, a new steganography algorithm that combines two different steganography
methods, namely Matrix Pattern (MP) and Least Significant Bit (LSB), is presented for RGB …

Steganographic methods are desired to have the least impact on the statistical and
perceptual properties of the cover image to prevent steganalytical methods from the …

In recent years, binary image steganography has developed so rapidly that the research of
binary image steganalysis becomes more important for information security. In most state-of …

Pixel value differencing (PVD) and least significant bit substitution (LSB) are two widely used
schemes in image steganography. These two methods do not consider different content in a …

This paper is concerned with the universal (blind) image steganalysis problem and
introduces a novel method to detect especially spatial domain steganographic methods. The …

The advantage of spatial domain image steganography techniques is their capacity to
embed high payloads of data by directly modifying image pixels. While these techniques …

Embedding a secret message into the pixels of a cover image yields a visual distortion if
these pixels belong to smooth regions. Thus, this prompted the development of some edge …