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.
Least Significant Bit and Discrete Wavelet Transform Algorithm Realization for Image Steganography Employing FPGA
