An Effective audio Watermarking Approach with high data Embedding
Hardeep Singh Saini1, Dinesh Arora2, Manisha Verma3
1Hardeep Singh Saini, Indo Global College of Engineering, Abhipur, Mohali, India.
2Dinesh Arora, Chandigarh Engineering College, Landran, Mohali, India.
3Manisha Verma, Indo Global College of Engineering, Abhipur, Mohali, India.
Manuscript received on 05 March 2019 | Revised Manuscript received on 12 March 2019 | Manuscript Published on 20 March 2019 | PP: 185-190 | Volume-8 Issue- 4S2 March 2019 | Retrieval Number: D1S0038028419/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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 watermarking has gained a large popularity among the research work that various authors are working in this direction to improve its performance and to enhance the security of the data. After having review to the traditional work done on audio watermarking, certain limitations related to the hidden image file were found in it. Thus, in this work, the author presents a novel audio watermarking technique. In this work the cover file is an audio file and the image are used to hide behind the signals of the audio. To enhance the security level of the image, the Run-length encoding (RLE) compression mechanism is applied to the image and signals before hiding the image. The RLE is preferred because it is a lossless data compression and encryption mechanism. It ensures the data security and considers the storage management as another major aspect. After applying RLE, the Least Significant Bit (LSB) mechanism is applied to hide the encrypted image behind the digital signals. After implementation, the performance of proposed work is evaluated in the terms of PSNR, BER, and MSE. The obtained results prove that the proposed work outperforms the traditional work.
Keywords: Pseudo Noise, Least Significant Bit (LSB), Watermarking, Run-length Encoding (RLE).
Scope of the Article: Evaluation of Glazing Systems for Energy Performance