In this paper, a novel data-hiding technique based on the Fibonacci representation of digital images is presented. A generalization of the classical Least Significant Bit (LSB) embedding method is performed. The Fibonacci representation of grey level images requires 12 bit planes instead of the usual 8 planes of binary representation. Experimental results show that, such a redundant scheme outperforms the classical LSB method resulting in marked images having less perceptual distortion even if different planes from the lowest bit plane are selected for embedding. The computational cost of the embedding scheme is compatible with the classical LSB data hiding scheme
The LSB (Least significant bit) approach is very popular when it comes to steganographic algorithms ...
In this study, a novel approach of image embedding is introduced. The proposed method consists of th...
Abstract: Embedding messages bits in a cover-object affects the first order statistical properties o...
In this paper, a novel data-hiding technique based on the Fibonacci representation of digital images...
In this paper, a novel data-hiding technique based on the Fibonacci representation of digital images...
In this paper, a few novel data hiding techniques are proposed. These tech-niques are improvements o...
This paper presents a novel spatial data hiding scheme based on the Least Significant Bit insertion....
In this paper, a spiral-based Least Significant Bit (LSB) approach for hiding messages in images is ...
<p>ABSTRACT</p> <p>LSB steganography is a one of the most widely used methods for implementing cove...
In this paper, a spiral-based Least Significant Bit (LSB) approach for hiding messages in images is ...
[[abstract]]In this paper, an improved LSB replacement scheme having a high payload is proposed. In ...
Data hiding is the art of hiding data for various purposes such as to maintain private data, secure ...
In this contribution the robustness of a novel steganographic scheme based on the generalized Fibona...
This paper presents a new partial optimization approach for the least significant bit (LSB) data hid...
Abstract. Many existing steganographic methods hide more secret data into edged areas than smooth ar...
The LSB (Least significant bit) approach is very popular when it comes to steganographic algorithms ...
In this study, a novel approach of image embedding is introduced. The proposed method consists of th...
Abstract: Embedding messages bits in a cover-object affects the first order statistical properties o...
In this paper, a novel data-hiding technique based on the Fibonacci representation of digital images...
In this paper, a novel data-hiding technique based on the Fibonacci representation of digital images...
In this paper, a few novel data hiding techniques are proposed. These tech-niques are improvements o...
This paper presents a novel spatial data hiding scheme based on the Least Significant Bit insertion....
In this paper, a spiral-based Least Significant Bit (LSB) approach for hiding messages in images is ...
<p>ABSTRACT</p> <p>LSB steganography is a one of the most widely used methods for implementing cove...
In this paper, a spiral-based Least Significant Bit (LSB) approach for hiding messages in images is ...
[[abstract]]In this paper, an improved LSB replacement scheme having a high payload is proposed. In ...
Data hiding is the art of hiding data for various purposes such as to maintain private data, secure ...
In this contribution the robustness of a novel steganographic scheme based on the generalized Fibona...
This paper presents a new partial optimization approach for the least significant bit (LSB) data hid...
Abstract. Many existing steganographic methods hide more secret data into edged areas than smooth ar...
The LSB (Least significant bit) approach is very popular when it comes to steganographic algorithms ...
In this study, a novel approach of image embedding is introduced. The proposed method consists of th...
Abstract: Embedding messages bits in a cover-object affects the first order statistical properties o...