Showing papers by "V. Thanikaiselvan published in 2011"

Wave (let) decide choosy pixel embedding for stego

Abstract: Steganography is used to hide a secret message within a cover image, thereby yielding a stego image such that even the trace of the presence of secret information is wiped out. The purpose of steganography is to maintain secret communication between two users. Steganography has several technical challenges namely high hiding capacity and imperceptibility. In this paper we propose a modern steganographic technique with Integer Wavelet transform (IWT) and double key to achieve high hiding capacity, high security and good visual quality. Here cover image is converted in to wavelet transform co-efficients and the coefficients are selected randomly by using Key-1 for embedding the data. Key-2 is used to calculate the number of bits to be embedded in the randomly selected coefficients. Finally the Optimum Pixel Adjustment Process (OPAP) is applied to the stego image to reduce the data embedding error.

Wavelet Pave the Trio Travel for a Secret Mission – A Stego Vision

Abstract: Image steganography is a rapidly developing field with immense applications to offer high data security. There are two types’ or rather two domains in which image steganography has been achieved, spatial and frequency domain. Spatial domain steganography focuses on embedding of the payload on the LSB bits of the pixels on the image, while frequency domain steganography focuses on the transformation of the image pixels using various transform algorithms and then embedding data in the transformed pixels. The most commonly used transform mechanism is the IWT (Integer Wavelet Transform) because of the obvious reason that it yields integer coefficients which are very easy to work with. This paper elucidates the use of Haar Integer Wavelet Transform for Constant and Adaptive number of bit embedding method. Both types are analyzed and finally the method with the highest embedding capacity with high PSNR is adjudged best.