: Steganography Techniques: A Comparative Research Case Study
Journal: International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) (Vol.4, No. 3)Publication Date: 2015-07-10
Authors : Musavir Hassan; Er. Muheet Ahmed Butt; Majid Zaman;
Page : 80-86
Keywords : Keywords: Least Significant Bit (LSB); Discrete Cosine Transform (DCT); Discrete Wavelet Transform (DWT); Mean Square Error; Peak Signal-To-Noise Ratio (PSNR);
Abstract
Abstract Steganography is the science and art of hiding information in ways that conceals the existence of embedded data. Information can be transferred from one place to another place through an appropriate multimedia carrier, e.g., image, audio, and video in a covert way. If the feature of secret data is visible, it can attract the attention from eavesdroppers and attackers. To hide secret data in images, there exists a large variety of Steganography techniques some are complicated than others and all of them have respective strong and weak points. The ultimate objectives of steganography are robustness, undetectability and capacity of hidden data. This paper provides a comparative analysis of hiding secret image in a cover image using steganography methods along with some common standards and guidelines drawn from the literature. The effectiveness of these techniques has been estimated on the basis of the parameters MSE, PSNR, Capacity and Robustness. In addition to this a new method for DWM is proposed with normal information loss.
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Last modified: 2015-07-10 14:12:11