Spatial LSB±1 steganography changes smooth characteristics between adjoining pixels of
the raw image. We present a novel steganalysis method for LSB±1 steganography based on …

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 …

Multi-dimensional spatial analysis of image pixels have not been much investigated for the
steganalysis of the LSB Steganographic methods. Pixel distribution based steganalysis …

In this paper we present a novel steganalysis method with feature vectors derived from gray
level co-occurrence matrix (GLCM) in spatial domain, which is sensitive to data embedding …

In this paper, we present an improved least significant bit (LSB)-based steganalysis scheme
using the bit-plane decomposition of images. We derive a mathematical condition that can …

We propose a novel image steganalysis method, based on singular value decomposition
and noise estimation, for the spatial domain LSB embedding families. We first define a …

So far, various components of image characteristics have been used for steganal-ysis,
including the histogram characteristic function, adjacent colors distribution, and sample pair …

We present a novel technique for effective steganalysis of high-color-depth digital images
that have been subjected to embedding by LSB steganographic algorithms. The detection …

In this paper, we present a new steganalytic technique to detect the use of LSB
steganography in the gray-scale images. We are motivated by a need to research the high …

In this paper, we propose a new method for attacking the LSB (least significant bit) matching
based steganography. Different from the LSB substitution, the least two or more significant …