Downloads: 128 | Views: 139
M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 4 Issue 9, September 2015
Performance Analysis of Digital Steganography Technique with Image Mosaic, Least Significant Bit and Wavelet Transform
Vaneeta Sunil Phand | Santosh Bandak
Abstract: Image steganography is a secret communication method that uses an image as the cover to hide the secret image from potential attackers that there is some secret message hidden in the image that is being transmitted. When we appreciate the astonishing beauty of a world famous art or picture in its digital form on the computer, it is hard to imagine that the picture or the image might actually be working as a messenger, carrying some invisible important secret message with it. In other words, steganography is techniques that provide protection to the secret message by oering it the appearance of an image. The proposed work focuses on analysis of different steganographic techniques for images. In this work we have proposed a unique mosaic based technique which extracts texture block from payload and embeds it in the usual similar texture block of the carrier. it results in visible steganography which looks like a normal mosaic image. The source block to the carrier block mapping is saved in a table this is the partial information required for reconstruction therefore it is not possible by steganolysis tools to predict a steganographic method by analyzing the image. Another reason being that there is no embedding data but rather a substitution of blocks this result is better security for the data and we also show that image mosaic technique is better when compared to that of least significant bit steganography and wavelet transform with respect to mean square error, peak signal to noise ratio and edge similarity.
Keywords: Steganography, Image Mosaic, least significant bit, Wavelet transform, MSE, PSNR, edge similarity
Edition: Volume 4 Issue 9, September 2015,
Pages: 582 - 587
Similar Articles with Keyword 'Steganography'
Research Paper, Computer Science & Engineering, India, Volume 11 Issue 5, May 2022Pages: 885 - 888
Image Based Steganography
Bheeshma Rao J | Ujwal Sai Satya Jorige | Sai Praneetha Katragadda | Pradeep Kumar .V
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 11, November 2015Pages: 1526 - 1530
A New Meaningful Adaptive Region Incrementing Visual Secret Sharing Based on Error Diffusion and Permutation Encoding with Cheating Prevention