Design of a blind quantization‐based audio watermarking scheme using singular value decomposition. (5th April 2019)

• Record Type: Journal Article
• Authors: Bhat K, Vivekananda; Das, Ashok Kumar; Lee, Jong‐Hyouk
• Other Names: Choi Chang guestEditor.; Pop Florin guestEditor.; Huang Jun guestEditor.; Ogiela Marek R. guestEditor.
• Is Part Of: Concurrency and computation. Volume 32:Number 18(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-04-05
• Subjects: audio watermarking -- quantization -- security -- singular value decomposition; Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.5253
• Languages: English
• ISSNs: 1532-0626

Abstract

Summary: Watermarking is a mechanism in which owner of the audio file hides the watermark information into a audio for various applications. The identity of the owner of the audio file is hidden in the audio, which is known as watermark. In this article, a quantization‐based audio watermarking using singular value decomposition (SVD) is proposed. The original audio signal is converted into non overlapping two dimensional matrix blocks. The SVD is applied to each block. The watermark is embedded into audio signal by quantization of largest singular value of the block. The watermark is extracted blindly without using original audio signal. Experimental results show the watermark's high imperceptibility in the audio signal and good performance against Stirmark as well as traditional signal processing attacks. Compared with other audio watermarking methods, our method has higher embedding capacity and robust against various traditional signal processing attacks.