Enhanced Image Steganographic Technique Based on Discrete Wavelet Transform and Histogram Shifting
J. Stephy1, V. Subramaniyaswamy2
1J. Stephy, School of Computing, SASTRA Deemed University, Thanjavur, (Tamil Nadu), India.
2V. Subramaniyaswamy, School of Computing, SASTRA Deemed University, Thanjavur, (Tamil Nadu), India.

Manuscript received on 18 April 2019 | Revised Manuscript received on 23 May 2019 | Manuscript published on 30 May 2019 | PP: 567-572 | Volume-8 Issue-1, May 2019 | Retrieval Number: F2556037619 /19©BEIESP
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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: A excessive need on digital information in the current years increases the need to shield its secrecy. High capacity, imperceptibility and lossless hiding method in digital images have been proposed in this paper. However, Cryptographic techniques are used as a better solution for securing the data but in nature the encrypted data attracts the attackers. In order to overcome the issues found in security data hiding techniques are found to be an alternative solution. Hiding data based on wavelet transforms helps in maintaining visual quality of an image. Discrete Haar Wavelet Transform (DHWT) is used to convert an image into wavelet coefficients. The data is embedded in medical images and standard images based on Histogram Shifting. This technique uses pixel difference in cover image and peak point belongs to histogram is selected to protect the information which increases the hiding capacity. The experimental results shows good imperceptibility and hiding capacity compared to other existing data hiding techniques.
Keywords: Reversible Data Hiding, Discrete Haar Wavelet Transform, Histogram Shifting, Peak Signal to Noise Ratio, Capacity

Scope of the Article: Image Processing and Pattern Recognition