Development of Algorithm for Audio Watermarking Embedding and Decoding using Patchwork Method under Attacks
Yugendra. D. Chincholkar1, Sanjay. R. Ganorkar2

1Yugendra D. Chincholkar*, Electronics and Telecommunication, Sinhgad College of Engineering, Pune, India.
2Sanjay R. Ganorkar, Electronics and Telecommunication, Sinhgad College of Engineering, Pune, India.
Manuscript received on December 14, 2019. | Revised Manuscript received on December 24, 2019. | Manuscript published on January 10, 2020. | PP: 3289-3294 | Volume-9 Issue-3, January 2020. | Retrieval Number: C9000019320/2020©BEIESP | DOI: 10.35940/ijitee.C9000.019320
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Abstract: To protect digital multimedia content from unauthorized reproduction, digital audio watermarking played crucial role. Audio watermarking for the patchwork method has a relatively good level of perception quality. The challenges between security, robustness, and imperceptibility is contemporary area of research and remains relevant issues. This paper introduces discrete cosine transforms (DCT)-based audio watermarking process using the patchwork method for conventional and advanced signal processing attacks. In the first stage of the watermarking audio signal is divided into an equal number of segments and its sub-segments, and then its coefficients are computed. After eliminating high-frequency related coefficients, remaining coefficients are used to form frame pairs of equal length. Watermarks are embedded in a frame using specific criteria and secured data key. The adjustments are made in such a way that the identification of Watermarked pairs of DCT frames is done in the decoding process by applying the selection criteria used during the embedding process. From watermarked frames, watermark data is extracted by using a secure data key. The proposed audio watermarking algorithm is implemented and tested under conventional and advance signal processing attacks for robustness, imperceptibility, security, and data payload. 
Keywords: Patchwork, Audio Watermarking, Robustness, Discrete Cosine Transform.
Scope of the Article:  Algorithm Engineering