An Image Steganography Algorithm using Fractional Discrete Wavelet Transform with Advanced Encryption System 
Satyaki Sarkar1, Dipanshu Dey2, Shweta Singh3, M Jasmine Pemeena Priyadarsini4, Jabeena A5
1Satyaki Sarkar*, School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
2Dipanshu Dey, School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
3Shweta Singh, School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
4M. Jasmine Pemeena Priyadarsini, Higher Academic Grade, School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
5JABEENA A, Associate Professor Grade 1, School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India
Manuscript received on May 29, 2020. | Revised Manuscript received on June 22, 2020. | Manuscript published on June 30, 2020. | PP: 541-546 | Volume-9 Issue-5, June 2020. | Retrieval Number: E9632069520/2020©BEIESP | DOI: 10.35940/ijeat.E9632.069520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The research constitutes a distinctive technique of steganography of image. The procedure used for the study is Fractional Random Wavelet Transform (FRWT). The contrast between wavelet transform and the aforementioned FRWT is that it comprises of all the benefits and features of the wavelet transform but with additional highlights like randomness and partial fractional value put up into it. As a consequence of the fractional value and the randomness, the algorithm will give power and a rise in the surveillance layers for steganography. The stegano image will be acquired after administrating the algorithm which contains not only the coated image but also the concealed image. Despite the overlapping of two images, any diminution in the grade of the image is not perceived. Through this steganographic process, we endeavor for expansion in surveillance and magnitude as well. After running the algorithm, various variables like Mean Square Error (MSE) and Peak Signal to Noise ratio (PSNR) are deliberated. Through the intended algorithm, a rise in the power and imperceptibility is perceived and it can also support diverse modification such as scaling, translation and rotation with algorithms which previously prevailed. The irrefutable outcome demonstrated that the algorithm which is being suggested is indeed efficacious.
Keywords: Fractional random wavelet transform, Wavelet transform, image steganography, surveillance