A Novel Image Hiding Algorithm using Optimal Band Selection
Ali Baig Mohammad1, Tummala Ranga Babu2

1Ali Baig Mohammad, Research Scholar, Assistant Professor Department of ECE, ANU College of Engineering & Technology, Koneru Lakshmaiah Education Foudation, Vaddeswaram Guntur (Andhra Pradesh), India.
2Prof. Tummala Ranga Babu, Professor & Head, Department of ECE, R.V.R & J.C College of Engineering, Guntur (Andhra Pradesh), India.
Manuscript received on 07 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 March 2019 | PP: 1155-1159 | Volume-8 Issue-5, March 2019 | Retrieval Number: E3157038519/19©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: In the present era of transmission of data over internet requires a very high level of security. In order to transmit personal data or confidential data over internet, data privacy and secrecy are very crucial. Different security measures like cryptography and steganography are developed for provisioning security in many applications.In the process of enhancing image security, images are transformed to a format, which cannot be determined by an intermediate user, and can be retrieved back by the authorized user only.Though different approaches were defined, the need of provisioning security still observe various limitations to reach to the demands of evolving generation services and resource utilization. In this paper, a novel approach of embedding secret information in a cover image using optimal band selection is proposed. Instead of embedding the secret image in LL band, an optimal band is selected based on minimum energy constraint and is used as a room for hiding secret image in it. The proposed algorithm is applied on several images and a very less distorted cover image is obtained.The results of these experiments show better performance metrics like PSNR, MSE and NCC when compared to conventional LL band coding.
Keyword: Discrete Wavelet Transform, Image Cryptography, MSE, NCC, PSNR.
Scope of the Article: Image Security