Data Hiding in Grayscale Image using Least Significant Bit Technique and Discrete Wavelet Transform
G.V.M. Praveen1, E.Vishnu Priyatam2, Ramaiah Challa3
1Praveen Goli*,CSE Department,Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India.
2E.Vishnu Priyatam, CSE Department, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India.
3Ch.Ramaiah, Computer Science And Engineering Department,Koneru Lakshmaia Education Foundation, Vaddeswaram, Guntur, India.
Manuscript received on November 12, 2019. | Revised Manuscript received on 23 November, 2019. | Manuscript published on December 10, 2019. | PP: 4999-5002 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6644129219/2019©BEIESP | DOI: 10.35940/ijitee.B6644.129219
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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: In this paper, we present a model for data hiding using modified least Significant Bit and DWT concept to further improve the ability to embed as a picture good (EC).From the begin, each high-quality pixel produces 4 new pixels. The puzzle facts is concealed in all the four conveyed pixels. via then the pixels are fixed to improve the concept of the stego-pics. There are four separate stego-pictures crafted from the four unmistakable revised pixels. each stego-photo disguises one piece for every pixel. For Stego-photos, the typical peak signal-to-noise ratios (PSNR) the proposed procedure successfully withstand against RS-stego examination
Keywords: Least Significant Bit (LSB), Peak Signal-to-Noise Ratios(PSNR), Pixel Value Difference(PVD),DWT.
Scope of the Article: Signal and Image Processing