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.

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[16] Wang S., Yang B., and Niu X., “A Secure Steganography Method based on Genetic Algorithm,” Journal of Information Hiding and Multimedia Signal Processing, vol. 1, no. 1, pp. 28-35, 2010. A Daubechies DWT Based Image Steganography Using Smoothing Operation 161 Vijay Sharma completed M.Tech from RTU kota, India and B.Tech from Rajasthan Institute of Engineering and Technology, jaipur, India. Area of Research Biometrics, Computer Vision, Image Processing, Pattern Recognition, Information system security and Embedded system. Working with Rajasthan Institute of Engineering & Technology, Jaipur, India as a Assistant Professor, in CSE Department Honours and Awards:Published may papers in International Journals, International conferences, National journal and National conferences as; (SCI indexed), Springer conferences, IEEE conferences, and many other conferences etc. Reviewer: Journal of circuits, systems and computers, International Journal of Applied science and Engineering (Scopus indexed) Total teaching experience: more than 10 years to UG/PG (B. Tech., M. Tech. and MCA). Devesh Srivastava completed Ph.D. from UTU Dehradun, India and M.Tech from AAI Allahabad, India. Current positions Professor in the Department of Deptt. of IT, Area of Research Software Engineering, Image Processing, Big data Published many papers in reputed journals and guided many Research scholars. Honours and Awards: Session chair in many international conferences. Total teaching experience: more than 15 Years, Classes taught: B.Tech. M.Tech and MCA. Pratistha Mathur Completed Ph.D. from Banasthali Vidyapith in Digital image processing, and M.Tech in Computer science. Current positions Associate Professor, in the Department of Deptt. of IT, Area of Research Image Processing, Published many papers in reputed journals and guided many Research scholars. Total teaching experience: 18 Years, Classes taught: B.Tech. M.Tech.