To improve the embedding capacity and provide an imperceptible visual quality, a novel steganographic method based on four-pixel differencing and modified least significant bit (LSB) substitution is presented. The average difference value of a four-pixel block is exploited to classify the block as a smooth area or an edge area. Secret data are hidden into each pixel by the k-bit modified LSB su...

A new LSB matching steganalysis scheme for gray images is proposed in this paper. This method excavates the relevance between pixels in the LSB matching stego image from the co-occurrence matrix. This method can acquire high accuracy near to 100% at high embedding rate. In order to increase the accuracy at low embedding rate, we strengthen the differences between the cover image and the stego i...

In the paper, we advocate a new approach to blind steganalysis based on classifying higher-order statistical features derived from an estimation of the stego signal in the wavelet domain. The proposed approach is flexible and enables reliable detection of presence of stego messages embedded using a wide range of steganographic methods that include ±1 embedding (LSB matching), LSB embedding, Sto...

A new method is introduced for the least significant bit (LSB) image steganography in spatial domain providing the capacity of one bit per pixel. Compared to the recently proposed image steganography techniques, the new method called onethird LSB embedding reduces the probability of change per pixel to one-third without sacrificing the embedding capacity. This improvement results in a better im...

we present a steganalysis scheme for lsb matching steganography based on feature vectors extracted from integer wavelet transform (iwt). in integer wavelet decomposition of an image, the coefficients will be integer, so we can calculate co-occurrence matrix of them without rounding the coefficients. before calculation of co-occurrence matrices, we clip some of the most significant bitplanes of ...

reliable and accurate method for detecting least significant bit (LSB) nonsequential embedding in digital images. The secret message length is derived by inspecting the lossless capacity in the LSB and shifted LSB plane. An upper bound of 0.005 bits per pixel was experimentally determined for safe LSB embedding. S teganography is the art of secret communication. Its purpose is to hide the prese...

Steganography, derived from Greek, literally means “covered writing”. It includes a vast array of secret communications methods that conceal the message’s very existence. These methods include invisible inks, microdots, character arrangement, digital signatures, covert channels, and spread spectrum communications. This paper proposes a new improved version of Least Significant Bit (LSB) method....

In this paper, we propose an algorithm called Optimum Intensity Based Distributed Hiding (OIBDH) for secret data hiding inside cover images. The algorithm is a modified version of Bit Plane Splicing LSB technique with better hidden capacity and improved embedding process. The proposed algorithm outperforms Bit Plane Splicing LSB technique as more data can be hidden without degrading the quality...

The importance of information security in protecting and hiding information has increased due to the increased use of computers and Internet. Information hiding technology such as Digital Image steganography embeds secret messages inside other files. Least Square Bit (LSB) is the most popular technique used in image steganography that hides data behind a cover-image in a spatial and discrete co...

Data hiding can be regarded as a type of image processing techniques. Other image processing operations are usually integrated to increase the embedding capacity or decrease the visual distortion. Interpolation is an example of this type of operation. However, previous interpolation-based data hiding algorithms suffered from low and fixed embedding capacity and high visual distortion. This stud...