A Daubechies DWT Based Image Steganography
Using Smoothing Operation
Vijay
Sharma, Devesh Srivastava, and Pratistha Mathur
Computer Science and Engineering Department, Manipal University Jaipur,
India
Abstract: Steganography is a capability which conceals the top-secret information
into cover media (e.g., digital images, sound files etc.,). This Paper presents
a secure, higher embedding capacity Discrete Wavelet Transformation (DWT) based
technique. Before embedding correlation in between cover and the secret image
is increased by multiplying some variable (i.e., 1/k) to the secret image. In
embedding process, the Daubechies DWT of both Arnold transformed secret and
cover images are taken followed by alpha blending operation. Arnold is a type
of scrambling process which increases the confidentiality of secret image and
alpha blending is a type of mixing operation of two images, the alpha value
indicates the amount of secret image is embedded into the cover image.
Daubechies Inverse Discrete Wavelet Transformation (IDWT) of the resulting
image is performed to obtain the stego image. Smoothing operation inspired by
the Genetic Algorithm (GA) is used to improve the quality of stego-image by
minimizing Mean square error and morphological operation is used to extract the
image component from the extracted secret image. Simulation results of the
proposed steganography technique are also presented. The projected method is
calculated on different parameters of image visual quality measurements.
Keywords: Steganography, Daubechies DWT, Arnold transform,
smoothing operation, genetic algorithm, morphological operation.
Received
March 18, 2017; accepted January 28, 2018
https://doi.org/10.34028/iajit/17/2/2