In this paper, we propose a new method of non-adaptive LSB steganography in still images to improve the embedding efficiency from 2 to 8/3 random bits per one embedding change even for the embedding rate of 1 bit per pixel. The method takes 2-bits of the secret message at a time and compares them to the LSBs of the two chosen pixel values for embedding, it always assumes a single mismatch betwe...

The project proposes the data hiding technique using adaptive pixel pair matching (PPM) and LSB Replacement for secret data communication. The basic idea in LSB is the direct replacement of LSBs of pixel bits of the cover image with the secret message bits. The basic idea of PPM is to use the values of pixel pair as a reference coordinate and search a coordinate in the neighborhood set of this ...

To develop and check the Steganography based information’s by using Matlab this proposal investigates the detection of information hidden in digital media by both the least significant bit (LSB) matching and replacement scheme. Which can completely recover the original images without any distortion from the secret images by utilizing the parity features of the original images and defining two e...

Video Steganography deals with hiding secret data or information within a video. In this paper, a spatial domain technique for LSB Matching Revisited algorithm (LSBMR) has been proposed, where the secret information is embedded in the cover frames. LSB Matching Revisited(LSBMR) algorithm selects the embedding regions according to the size of secret message and the difference between two consecu...

Simple least-significant-bit (LSB) substitution is a method used to embed secret data in least significant bits of pixels in a host image. The LSB approaches typically achieve high capacity. A simple LSB substitution, which hides secret data directly into LSBs, is easily implemented but will result in bad quality of the stego-image. In order to reduce the degradation of the host image after emb...