Efficient And Improved Video Steganography using DCT and Neural NetworkJournal: International Journal for Scientific Research and Development | IJSRD (Vol.3, No. 10)
Publication Date: 2016-01-01
Authors : Fozia .R .Khan; Sujata Anandwani;
Page : 432-437
Keywords : Video Steganography; least significant bit; discrete cosine transform; neural network;
As per the demand of modern communication it is important to establish secret communication which is obtain by seganography .Video Steganography is the technique of hiding some covert message inside a video. The addition of this information to the video is not recognizable through the human eye as modify of a pixel color is negligible. In the proposed method Discrete Cosine Transform (DCT) and neural network is used. Input image is divided into blocks and is processed to generate quantization matrix of cover and stego images by using Discrete Cosine Transform (DCT).And using neural network performance of this method can be further improved. The neural network is trained and on the basis of training and segmentation done, neural network provide efficient positions where data can be merge. The performance and efficiency is measured by PSNR and MSE value.
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Last modified: 2016-01-07 18:40:52