Abstract

Image steganography is a technique that is used to hide information. The information can be of various types like image, video, or audio. Steganography is done so that no one apart from the correct receiver can retrieve the information. This paper consists of all advantages and highlights of the wavelet transform but with the additional features like randomness and some default values that are already built-in it. Various algorithms can be used in steganography and they provide good hiding capacity and low detectability. Here we have hidden the image into the cover image using Integer Wavelet Transform (IWT) and also using Discrete Wavelet Transform (DWT) and compared which technique gives better results. It is very difficult to predict the presence of a hidden image inside the stego image since it looks exactly like the cover image. There is no loss in quality from the secret image to the extracted image since the PSNR (Peak Signal to noise ratio) is high for both of them. This process was done using both DWT and IWT and the results prove that that the IWT technique is not only simpler but also more efficient than the DWT technique since it gives higher PSNR values. Through the proposed algorithm, an increase in the strength and imperceptibility is noticed and it can also maintain various transformations such as scaling, translation, and rotation with algorithms that already exist. The final results, after comparing both the transforms prove that the algorithm which is being proposed in IWT is indeed effective

Highlights

  • There is some distortion in the cover image during extraction and as a result of this an analyzer can try to extract the confidential information [18]. These attacks can be prevented by using an Integer Wavelet Transform (IWT)

  • Block 1 represents the block of Low Low (LL) subband of IWT and Discrete Wavelet Transform (DWT) of the cover image, Block 2 represents the block of the secret image, Alpha represents the embedding coefficients [13]

  • The secret image is embedded into the LL band of the DWT and IWT of the cover image using the formula (1) and after that IIWT (Inverse Integer Wavelet transform) and IDWT (Inverse Discrete Wavelet Transform) is performed

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Summary

INTRODUCTION

Nowadays, hiding information is an extremely important aspect of information security. There are various techniques to provide security and one of them is steganography. Nowadays due to an increase in computer networks, we need to hide the information into some other medium such as image, audio, or video [1]. Steganography of the image using the transform domain approach transforms the hidden image into the image of the cover embedding the secret image in it. The original image is known as the cover image. The cover image along with the hidden image is known as stego image. Any unauthorized user will not be able to identify that there is a hidden image within the stego image [20]. The authorized recipient will be able to retrieve the confidential information. We use IWT and DWT to design the steganographic system and compare the two methods

Integer Wavelet Transform
Discrete Wavelet Transform
Embedding Process
RESULT
CONCLUSION
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