Hybrid Domain Steganography for Multiple Images using DWT-LSB Method
Shashikiran B S1, Shaila K2, Venugopal K R3

1Shashikiran B S*, Research Scholar, Dept of ECE, VTU-RC, VKIT, Bangelore, Karnataka, India.
2Dr. Shaila K, Professor and Research head, Dept of ECE, VKIT, Bangalore, Karnataka, India.
3Dr. Venugopal K R, Vice Chancellor, Bangalore University, Bangalore, Karnataka, India.

Manuscript received on November 14, 2019. | Revised Manuscript received on 28 November, 2019. | Manuscript published on December 10, 2019. | PP: 1326-1334 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6133129219/2019©BEIESP | DOI: 10.35940/ijitee.B6133.129219
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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 technique of hiding information with coexistence of other information is called Steganography. Users usually stores their documents in the form of images so this can be achieved using steganography. Image steganography can be performed in spatial-domain, Transformation-domain and hybrid domain. A new hybrid domain based steganography for hiding multiple image in a single image is proposed in this paper. The properties of Discrete wavelet transforms is used for developing the algorithm that provides security and also reduces the storage capacity in huge databases. While storing various documents of a user in a huge database confidential and integrity has to be Maintained. Possibility of mismatching of document in huge databases is very common and data storage for maintaining those documents are challenging task. In this Approach, multiple secret images are embedded in a single cover image to get stego image using hybrid domain. Discrete Wavelet Transform (DWT) and Least Significant Bit (LSB) techniques are used in embedding multiple images that reduces the storage capacity along with, enough security. The proposed algorithm provides acceptable Peak Signal to Noise Ratio (PSNR) ratio and data capacity of hidden information is more compared to existing methods. 
Keywords: Cover Image, DWT, LSB, PSNR, Secret Image Steganography, Stego Image
Scope of the Article: Image analysis and Processing