Data Hiding in Grayscale Image using Least Significant Bit Technique and Discrete Wavelet Transform

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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

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Goli*, P., Priyatam, E. V., & Ramaiah, Ch. (2019). Data Hiding in Grayscale Image using Least Significant Bit Technique and Discrete Wavelet Transform. International Journal of Innovative Technology and Exploring Engineering, 9(2), 4999–5002. https://doi.org/10.35940/ijitee.b6644.129219

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