An Efficient Neural Network based Algorithm of Steganography for image

To provide large capacity of the hidden secret data and to maintain a good visual quality of stego-image a novel steganographic method based on neural network and random selection of edged areas of pixels is proposed in this research paper. Firstly a cover image is divided into a non-overlapping two pixels block and this pixel block generates a set of edged non-overlapping regions. After this a neural network is applied which generates a stego-image which has been immune against conventional attack and performs good perceptibility compared to other steganographic approaches. From our experimental results it can be shown that the proposed method hides information in edged regions and maintains a better visual display of stego image than the traditional methods.