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Variable-dimensional vector modulation for perceptual-based DWT blind audio watermarking with adjustable payload capacity
Affiliation:1. Department of Electronic Engineering, National I-Lan University, Yi-Lan, 26041 Taiwan, ROC;2. Department of Information Management, St. Mary''s Medicine, Nursing and Management College, Yi-Lan, 26644 Taiwan, ROC;1. Institute of Applied Physics and Computational Mathematics, Beijing 100094, China;2. Institute of Fluid Physics, CAEP, Mianyang 621900, China;1. School of Electronic and Information Engineering, Zhongyuan University of Technology, ZhengZhou 450007, China;2. State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing 100191, China;1. Signal and Information Processing, Department of Electronic Systems, Aalborg University, Denmark;2. Center for Dynamical Systems Signal Processing and Data Analytics (STADIUS), Department of Electrical Engineering (ESAT), KU Leuven, Belgium;3. Audio Analysis Lab, AD:MT, Aalborg University, Denmark;1. Highway Maintenance Equipment National Engineering Laboratory, Key Laboratory of Road Construction Technology and Equipment Ministry of Education, School of Construction Machinery, Chang’an University, 322 mailbox, Xi’an, Shaanxi 710064, China;2. Department of Civil and Environmental Engineering, National University of Singapore, Singapore 117576, Singapore
Abstract:A variable-dimensional vector modulation (VDVM) scheme is introduced to maximize the efficiency of the norm-space DWT-based blind audio watermarking technique. This flexible scheme allows the watermarking algorithm to reach a balance between robustness and capacity, while the imperceptivity is always ensured. The imperfection of applying quantization index modulation in the open-loop case has been rectified. The effectiveness of the proposed scheme is proven using the perceptual evaluation of audio quality (PEAQ) and bit error rates of recovered watermarks under various signal processing attacks. Experimental results show that the proposed VDVM scheme is comparable to other recently developed methods in robustness and imperceptivity even at a capacity as high as 301.46 bps. Such a capacity can be further doubled by halving the dimension of the involved DWT vector, while the robustness is still maintained at a satisfactory level.
Keywords:Blind audio watermarking  Discrete wavelet transform  Variable-dimensional vector modulation  Human auditory masking
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