Robust audio watermarking via quantization and particle swarm optimization.

The development of internet technology can make it easier for us to communicate with each other. However, this ease also has negative impacts such as illegal and piracy dissemination of digital data. This paper proposes a watermarking scheme based on Discrete Wavelet Transform (DWT), which can protect the ownership and originality of audio data. The R coefficient on QR Decomposition (QRD) is used as a place for watermark data. Afterward, the watermark image is embedded using Quantization Index Modulation (QIM). After all watermarking processes are complete, optimization is carried out for each audio type with the poor BER using Particle Swarm Optimization (PSO). The host tests are guitar, drum, piano, bass, and vocal with.wav format. The experimental result indicates that the performance increases at 67.64 % after applied PSO. Audio watermarking schemes became resistant to various attacks, i.e., compression, filtering, addition noise, and resampling. [ABSTRACT FROM AUTHOR]