Improved Capacity Image Steganography Algorithm using 16-Pixel Differencing with n-bit LSB Substitution for RGB Images

Steganography is a best method for in secret communicating information during the transference of data. Images are an appropriate method that used in steganography can be used to protection the simple bits and pieces. Several systems, this one as color scale images steganography and grayscale images steganography, are used on color and store data in different techniques. These color images can have very big amounts of secret data, by using three main color modules. The different color modules, such as HSV-(hue, saturation, and value), RGB-(red, green, and blue), YCbCr-(luminance and chrominance), YUV, YIQ, etc. This paper uses unusual module to hide data: an adaptive procedure that can increase security ranks when hiding a top secret binary image in a RGB color image, which we implement the steganography in the YCbCr module space. We performed Exclusive-OR (XOR) procedures between the binary image and the RGB color image in the YCBCR module space. The converted byte stored in the 8-bit LSB is not the actual bytes; relatively, it is obtained by translation to another module space and applies the XOR procedure. This technique is practical to different groups of images. Moreover, we see that the adaptive technique ensures good results as the peak signal to noise ratio (PSNR) and stands for mean square error (MSE) are good. When the technique is compared with our previous works and other existing techniques, it is shown to be the best in both error and message capability. This technique is easy to model and simple to use and provides perfect security with unauthorized.

Section: Introductionmentioning

confidence: 99%

Color image steganography in YCbCr space

Alwan¹,

Farhan²,

Mahdi³

2020

“…Steganography has been under the scope of researcher for some time since; it is a vital field for covert communication. Secret information can be embedded in the spatial domain specifically in the pixel intensity value [4]. A pioneering embedding method used in steganography is the least significant bit technique (LSB).…”

Section: Introductionmentioning

confidence: 99%

A secure image steganography based on burrows wheeler transform and dynamic bit embedding

Thahab

2019

In modern public communication networks, digital data is massively transmitted through the internet with a high risk of data piracy. Steganography is a technique used to transmit data without arousing suspicion of secret data existence. In this paper, a color image steganography technique is proposed in spatial domain. The cover image is segmented into non-overlapping blocks which are scattered among image size window using Burrows Wheeler transform before embedding. Secret data is embedded in each block according to its sequence in the Burrows Wheeler transform output. The hiding method is an operation of an exclusive-or between a virtual bit which is generated from the most significant bit and the least significant bits of the cover pixel. Results of the algorithm are analyzed according to its degradation of the output image and embedding capacity. The results are also compared with other existing methods.

“…The hiding information in cover media does not attract the human attention and the presence of hidden information is not perceivable to HVS. This technique made use of ACO, a nature-inspired optimization algorithm [17][18][19] for detection of complex region [20], and secret information are embedded in LSB of the complex region pixels [21], [22]. The forthcoming contents of the paper are organized as follow.…”

Section: Introductionmentioning

confidence: 99%

Ant Colony Optimization (ACO) based Data Hiding in Image Complex Region

Khan

2018

This paper presents data an Ant colony optimization (ACO) based data hiding technique. ACO is used to detect complex region of cover image and afterward, least significant bits (LSB) substitution is used to hide secret information in the detected complex regions' pixels. ACO is an algorithm developed inspired by the inborn manners of ant species. The ant leaves pheromone on the ground for searching food and provisions. The proposed ACO-based data hiding in complex region establishes an array of pheromone, also called pheromone matrix, which represents the complex region in sequence at each pixel position of the cover image. The pheromone matrix is developed according to the movements of ants, determined by local differences of the image element's intensity. The least significant bits of complex region pixels are substituted with message bits, to hide secret information. The experimental results, provided, show the significance of the performance of the proposed method. Keyword:Ant [7]. Sahib et al., inspired from chipper block chaining (CBC) encryption, proposed new techniques of stego block chaining (SBC) and enhanced stego block chaining (ESBC) to hide information in digital images [8].The aim of all data hiding techniques is to make the presence of hidden information undetectable and this attracted the attention of researcher to make use of HVS limitation. HVS can very easily detect the variations made in smooth area of cover image as compared to the changes in complex region. Due to this characteristic of the HVS, complex region of cover image is subjected to hiding and smooth region is not modified [9], [10]. In some techniques, complex region is subjected to more to data hiding than smooth region. This approach results in high quality of the stego-image, which means increase in the security of hidden information. Various techniques, including LSB methods [11], PVD methods, and side-match