Abstract
Steganography is an intelligent art of communicating in a way which hides the endurance of the communication. The image steganography technique takes the asset of confined power of visual system of human being. The art of hiding information such that it averts ferreting out of hidden messages is getting very popular nowadays, which is referred as Steganography. The word Steganography has been educed from the two Greek words - Steganos, which mean covered or secret and Graphy mean writing or drawing. There have been many techniques for hiding information or messages in images in such a manner that the modifications made to the image are perceptually undetected. This paper proposes the evaluation of a few techniques of the Image Steganography in spatial domain and frequency domain. The Image Steganography techniques in spatial domain that would be discussed are Least-Significant-Bit (LSB), LSB Replacement, LSB Matching, and Bit Plane Complexity Segmentation Steganography and frequency domain techniques to be conferred in this paper are Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT), Discrete Fourier Transform (DFT) and Singular Valued Decomposition (SVD). Steganography technique is intended to be compared with the Watermarking Technique
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