Recently, an edge adaptive image steganographic method based on least significant bit
(LSB) matching revisited (EA-LSBMR) has been proposed, which holds good visual quality …

The least-significant-bit (LSB)-based approach is a popular type of Steganography
algorithms in the spatial domain. The least-significant-bit (LSB)-based approach is a popular …

Image based steganography utilize the images as cover media to hide secret data. The
common technique used in this field replaces the least significant bits (LSB) of image pixels …

Digitization of image was a revolutionary step for the fields of photography and Image
processing as this made the editing of images much effortless and easier. Image editing was …

Steganalysis of least significant bit (LSB) embedded images in spatial domain has been
investigated extensively over the past decade and most well‐known LSB steganography …

In this paper, we propose a new channel selection criterion for spatial domain
steganography. Via choosing those pixels in edge regions that may introduce minimal …

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 …

This paper presents a literature review of image steganography techniques in the spatial
domain for last 5 years. The research community has already done lots of noteworthy …

Many high capacity image steganography algorithms have been proposed but at the cost of
lower imperceptibility. To fill the gap, this paper proposes a novel RGB image …

Most of the existing distortion functions for digital images steganography allot a same
embedding cost for±1 embedding change, which should be different intuitively. This paper …